{"id":"W4210671644","doi":"10.7202/1013040ar","title":"Volume 57 Index","year":2012,"lang":"fr","type":"article","venue":"McGill Law Journal","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Volume (thermodynamics); Political science; Computer science; Thermodynamics; Physics; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001725233,0.0002440832,0.0005440366,0.0001760363,0.002553238,0.0002323621,0.0003488904,0.0001909377,0.06222266],"category_scores_gemma":[0.00006925975,0.0003053832,0.0003372803,0.0001757006,0.0003600927,0.001434312,0.0002033117,0.0004910585,0.0786996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000430651,"about_ca_system_score_gemma":0.00000481793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008454713,"about_ca_topic_score_gemma":0.0002400661,"domain_scores_codex":[0.9976299,0.00003238003,0.0008614587,0.0003238357,0.00006421184,0.001088229],"domain_scores_gemma":[0.9986047,0.00003559081,0.0006022052,0.0002861122,0.00005877979,0.0004126473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001129636,0.0002044062,0.0444397,0.00002150035,0.0002525169,0.00001229826,0.0003465438,0.00008286946,2.214645e-7,0.6712913,0.2772047,0.006132649],"study_design_scores_gemma":[0.0005653616,0.00003645088,0.006793736,0.00003711951,0.00002783589,0.000197622,0.0006016886,0.0004230451,0.00000683773,0.002193339,0.9887479,0.0003690451],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00224781,0.03243836,0.0002266291,0.002067435,0.05058314,0.00008426093,0.001045376,0.00001774141,0.9112893],"genre_scores_gemma":[0.5420587,0.002074235,0.0004666938,0.0005385932,0.001704848,0.000002979596,0.000002809602,0.0000285591,0.4531226],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7115433,"threshold_uncertainty_score":0.9999398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0438126836695408,"score_gpt":0.2122546217933364,"score_spread":0.1684419381237956,"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."}}