{"id":"W4235358183","doi":"10.1002/cjas.1507","title":"Issue Information Info page and TOC","year":2019,"lang":"en","type":"paratext","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Administrative Sciences Association of Canada; Athabasca University; University of Calgary; Wilfrid Laurier University; Toronto Metropolitan University; HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science; World Wide Web; Information retrieval; Business","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001252836,0.001589659,0.002276141,0.004431606,0.002435258,0.006938763,0.002404844,0.002619126,0.9731483],"category_scores_gemma":[0.01152194,0.001194761,0.001317651,0.004778711,0.0004923562,0.003390048,0.001970286,0.002050619,0.9414022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001782045,"about_ca_system_score_gemma":0.004031147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008070236,"about_ca_topic_score_gemma":0.01333256,"domain_scores_codex":[0.9989806,0.00006890982,0.00006303976,0.000138404,0.000577472,0.0001716245],"domain_scores_gemma":[0.9935862,0.0008341482,0.000179968,0.0008239629,0.002953176,0.001622614],"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":[0.0000254796,0.00002969227,0.00004467517,0.0001178004,0.000002010901,0.000009628726,0.000005620377,0.00002029697,0.00008843559,0.0003953564,0.9888943,0.0103667],"study_design_scores_gemma":[0.00003948618,0.00002653646,0.0004242015,0.0001159161,0.000005302622,0.00001967823,0.00002585935,0.00005722971,0.0002245907,0.0006166364,0.9984345,0.00001014699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000247466,0.0005324325,0.001025077,0.003212362,0.01303775,0.0007211004,0.1365319,0.00733626,0.8373557],"genre_scores_gemma":[0.001387283,0.0007020709,0.0007563494,0.001083865,0.001218412,0.0002432215,0.04230277,0.002467262,0.9498386],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02685165,"threshold_uncertainty_score":0.03830051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09806832473579465,"score_gpt":0.2775471562143849,"score_spread":0.1794788314785903,"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."}}