{"id":"W4252803097","doi":"10.7202/1033970ar","title":"Index du volume XL","year":2015,"lang":"fr","type":"article","venue":"Voix et Images","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); Volume (thermodynamics); Computer science; Physics; Thermodynamics; 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":[0.001412212,0.0002446612,0.0005106269,0.0002360131,0.0001411992,0.0003652864,0.0003648857,0.000147714,0.0106985],"category_scores_gemma":[0.0003795933,0.0003233217,0.0001774074,0.0002471933,0.0004402334,0.0007911718,0.000347037,0.000203097,0.1083942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002275321,"about_ca_system_score_gemma":0.00006878917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001294144,"about_ca_topic_score_gemma":0.00003631589,"domain_scores_codex":[0.998157,0.00003251063,0.0005623094,0.0006420554,0.00005325655,0.0005528472],"domain_scores_gemma":[0.998893,0.00004644695,0.000317574,0.0004349513,0.00009274352,0.0002153464],"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":[0.00001010638,0.00009020678,0.09621251,0.00002334355,0.0001012946,0.00001661613,0.002178816,0.0002420787,3.522249e-7,0.01732336,0.8817348,0.002066535],"study_design_scores_gemma":[0.0007627971,0.00005200242,0.02556005,0.00002456968,0.00001585795,0.00001066682,0.001688881,0.00279497,0.000007732016,0.004230603,0.9644731,0.0003788089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02255871,0.03530642,0.002285891,0.05007385,0.03825107,0.0002957613,0.009767686,0.0001084029,0.8413522],"genre_scores_gemma":[0.09403746,0.001873064,0.0007163445,0.000790618,0.0005138945,0.00001259715,0.00001447066,0.00003081625,0.9020107],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09769575,"threshold_uncertainty_score":0.9999219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04634100984624526,"score_gpt":0.2246317299466142,"score_spread":0.1782907201003689,"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."}}