{"id":"W4236465389","doi":"10.7202/1043606ar","title":"INDEX ANALYTIQUE","year":2015,"lang":"fr","type":"article","venue":"Revue du notariat","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); Mathematics; Computer science; 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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00123176,0.0002417587,0.0006777761,0.0002444021,0.0001312905,0.0001983986,0.0003661833,0.0002325556,0.008340944],"category_scores_gemma":[0.0003845674,0.000341043,0.0002379013,0.0003512811,0.0002090123,0.000459113,0.0002611137,0.0002173652,0.06145642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005225184,"about_ca_system_score_gemma":0.00007238572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001474583,"about_ca_topic_score_gemma":0.0001777008,"domain_scores_codex":[0.9979821,0.00002546493,0.0007185372,0.0006963247,0.00003778822,0.000539767],"domain_scores_gemma":[0.9986698,0.00006029129,0.0004038025,0.0005224851,0.00008733757,0.0002562884],"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":[0.000021201,0.0001284675,0.1002864,0.00005732817,0.0002069281,0.000031051,0.002771121,0.001910246,1.740636e-7,0.2561779,0.6368161,0.001592981],"study_design_scores_gemma":[0.0008085825,0.00004574261,0.005555767,0.00004848133,0.00002918757,0.00001786093,0.000912876,0.02104744,0.000001958833,0.007481696,0.9636559,0.0003944671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03064691,0.04016761,0.00319892,0.02530945,0.06215678,0.0003817118,0.001350002,0.00007614637,0.8367125],"genre_scores_gemma":[0.2219335,0.002133656,0.0005830268,0.0005181182,0.001605862,0.00001288312,0.00002156276,0.00003212993,0.7731593],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3268398,"threshold_uncertainty_score":0.9999042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06619102505143348,"score_gpt":0.2094749255899375,"score_spread":0.143283900538504,"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."}}