{"meta":{"query_hash":"168002c7fe87","filters":{"venue":"International Journal of Corporate Finance and Accounting"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/168002c7fe87","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Corporate+Finance+and+Accounting"},"results":[{"id":"W2562550560","doi":"10.4018/ijcfa.2016070103","title":"Determinants of IFRS Compliance by Canadian Companies","year":2016,"lang":"en","type":"article","venue":"International Journal of Corporate Finance and Accounting","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Accounting; Business; Leverage (statistics); Compliance (psychology); International Financial Reporting Standards; Sample (material); Listing (finance); Finance","score_opus":0.02213695206718703,"score_gpt":0.23301299283020172,"score_spread":0.2108760407630147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2562550560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990509,0.00023967116,0.0057249847,0.0011038439,0.0007262481,0.00006312415,0.00002300978,0.000010399782,0.0015997727],"genre_scores_gemma":[0.9978279,0.00021042256,0.0002292056,0.00074306614,0.0006112899,0.0000015315791,0.0000026022265,0.000018540559,0.00035546796],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985432,0.000006463697,0.00059746456,0.00016800774,0.0004423843,0.00024245812],"domain_scores_gemma":[0.980768,0.000053789245,0.018198963,0.000095228774,0.0008664708,0.000017548673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042424817,0.00015720929,0.00028100214,0.000278883,0.00009321198,0.00017825054,0.0005617467,0.000041670195,0.00006574823],"category_scores_gemma":[0.0010213021,0.0001237926,0.00006585481,0.00018134387,0.00012769357,0.0018855094,0.00013066297,0.00011314311,0.00003651958],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006246065,0.000031918706,0.76908726,0.000059270038,0.000048508547,0.000088217246,0.000031335738,0.000041169817,0.002498213,0.004558931,0.006078974,0.21741375],"study_design_scores_gemma":[0.0019695554,0.000041127416,0.559969,0.0025985127,0.00005153566,0.00006638995,0.0001380394,0.0011494014,0.0015514534,0.0055536646,0.42641154,0.0004997637],"about_ca_topic_score_codex":0.0033362003,"about_ca_topic_score_gemma":0.0019808349,"teacher_disagreement_score":0.42033258,"about_ca_system_score_codex":0.00006322224,"about_ca_system_score_gemma":0.00006834091,"threshold_uncertainty_score":0.5048116},"labels":[],"label_agreement":null},{"id":"W2616363301","doi":"10.4018/ijcfa.2015070103","title":"The Impact of the Recent Economic Crisis in the Construction Sectors of the South-European Economies","year":2015,"lang":"en","type":"article","venue":"International Journal of Corporate Finance and Accounting","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Scope (computer science); Order (exchange); Economy; Economics; Economic sector; Business; Macroeconomics; Finance","score_opus":0.07563261115451766,"score_gpt":0.3373263747155071,"score_spread":0.2616937635609894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616363301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953281,0.00017843109,0.00006927952,0.0027935987,0.00093660445,0.000045464643,0.000009369472,7.838049e-7,0.0006383314],"genre_scores_gemma":[0.9996206,0.00010500953,0.000038791106,0.000082277234,0.00012693665,3.249587e-7,1.4666387e-7,0.000003681678,0.000022228374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979992,0.0003110761,0.0009156079,0.00010869601,0.00057266845,0.00009274805],"domain_scores_gemma":[0.9950032,0.00046928323,0.0035146337,0.0002449436,0.000755521,0.000012394797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058826213,0.00008083265,0.00017866504,0.00012726335,0.00012126694,0.00025684453,0.0014511964,0.000020804117,0.000009358462],"category_scores_gemma":[0.0010246524,0.00003084704,0.00019623146,0.00031218078,0.0002859742,0.0003563563,0.00013562934,0.0001804863,0.000003621228],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101685844,0.000032755295,0.8942956,0.0000010756322,0.00008587984,0.0000030791482,0.0027743652,0.08247366,0.00020540711,0.002149747,0.0030016913,0.01487511],"study_design_scores_gemma":[0.00063562597,0.00006824478,0.9445743,0.00011972971,0.000033044766,0.00014038973,0.008589788,0.007697483,0.00093036925,0.032741223,0.0043569254,0.00011286221],"about_ca_topic_score_codex":0.000120655524,"about_ca_topic_score_gemma":0.00010431616,"teacher_disagreement_score":0.07477617,"about_ca_system_score_codex":0.00008189671,"about_ca_system_score_gemma":0.00027113195,"threshold_uncertainty_score":0.2696708},"labels":[],"label_agreement":null}]}