{"id":"W4245534826","doi":"10.1111/heyj.12780","title":"Issue Information","year":2018,"lang":"en","type":"paratext","venue":"The Heythrop Journal","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; Information retrieval; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001034789,0.001612219,0.001484279,0.002841694,0.001860228,0.009001204,0.001933519,0.002372614,0.9401493],"category_scores_gemma":[0.006463896,0.0005437881,0.0009421257,0.003264829,0.0006415396,0.005674445,0.002544213,0.002347481,0.9142612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001379711,"about_ca_system_score_gemma":0.001959991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0020029,"about_ca_topic_score_gemma":0.003708995,"domain_scores_codex":[0.9989232,0.0001217038,0.00008709206,0.000197172,0.0005338478,0.0001369751],"domain_scores_gemma":[0.9958852,0.0004852123,0.0001712451,0.0005217084,0.001589552,0.001347166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001289949,0.00001082391,0.00003078033,0.00008770459,0.000001000114,0.00001241403,0.000006996311,0.00001390575,0.00005805899,0.0007401706,0.9788113,0.0202138],"study_design_scores_gemma":[0.00000624674,0.000007940828,0.0001298093,0.00006447655,7.88223e-7,0.00001936567,0.00001876283,0.00002041119,0.0000359118,0.000406313,0.9992871,0.000002798961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.0002050537,0.0008006285,0.0006286657,0.00325821,0.01317087,0.0003146287,0.01743795,0.002096994,0.962087],"genre_scores_gemma":[0.000703335,0.0005985151,0.0002645599,0.0011742,0.001853858,0.00008116843,0.006832018,0.0005975501,0.9878948],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.05985069,"threshold_uncertainty_score":0.08536965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03592626211534881,"score_gpt":0.2295602007295159,"score_spread":0.1936339386141671,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}