{"id":"W4249985098","doi":"10.1080/00085006.2016.1267900","title":"Annual Index/ Index Annuel","year":2016,"lang":"en","type":"article","venue":"Canadian Slavonic Papers","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005125409,0.002200128,0.001630141,0.005269723,0.001715148,0.005192988,0.00122024,0.00145884,0.571042],"category_scores_gemma":[0.002046922,0.0004368388,0.0007351079,0.005992184,0.0008419324,0.001899687,0.001803969,0.001935008,0.686107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002230395,"about_ca_system_score_gemma":0.003918788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0196623,"about_ca_topic_score_gemma":0.02768882,"domain_scores_codex":[0.9992366,0.00003378051,0.00003509751,0.0001163839,0.0004742766,0.0001037695],"domain_scores_gemma":[0.9985346,0.00005753519,0.00008648026,0.0001440028,0.0007459569,0.0004314209],"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":[0.00002119247,0.00001545764,0.0001019761,0.0001035035,0.00000300235,0.00001130345,0.000004607769,0.00006622542,0.00007501117,0.001069417,0.947743,0.05078524],"study_design_scores_gemma":[0.000005247374,0.000006421313,0.000526893,0.00006472896,0.000002182659,0.00000818489,0.000006452202,0.00003848146,0.00003741636,0.000555356,0.9987447,0.000003922175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006065161,0.01036209,0.0004612614,0.003310326,0.0158034,0.0001694211,0.0119593,0.001139081,0.9561886],"genre_scores_gemma":[0.001515357,0.003964295,0.0001781274,0.0004968534,0.002564627,0.0000593431,0.003592164,0.0002438942,0.9873853],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.428958,"threshold_uncertainty_score":0.6118565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167494974629207,"score_gpt":0.1794448188227189,"score_spread":0.1626953213597982,"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."}}