{"id":"W103177335","doi":"10.7202/1032997ar","title":"Indexation manuelle et indexation assistée par ordinateur : comparaison de la performance de deux index d’une monographie","year":2015,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Indexation","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0045996,0.001145057,0.001451876,0.007239182,0.001250832,0.005509697,0.001240807,0.001059316,0.01370502],"category_scores_gemma":[0.03374565,0.0005394488,0.0008775255,0.006772099,0.0006458477,0.004298902,0.001962366,0.000859699,0.007785997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001328258,"about_ca_system_score_gemma":0.002621851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01477326,"about_ca_topic_score_gemma":0.01158987,"domain_scores_codex":[0.9944618,0.001343618,0.0006421296,0.0009666149,0.002348062,0.0002376271],"domain_scores_gemma":[0.975593,0.01240606,0.001216981,0.003632754,0.006497706,0.0006536333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001710128,0.0002878186,0.008511181,0.002173368,0.0002324336,0.0002135751,0.002582523,0.004910556,0.04650889,0.004211261,0.01829801,0.9103602],"study_design_scores_gemma":[0.0006490038,0.002836368,0.08097,0.0008394561,0.0007419204,0.001517938,0.005871215,0.2120371,0.2658594,0.01069889,0.4172744,0.0007043506],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.447131,0.01050248,0.3985948,0.001762946,0.00126546,0.001679776,0.01082697,0.07795947,0.05027711],"genre_scores_gemma":[0.3905625,0.002095083,0.5517852,0.0002371828,0.0002272954,0.000638514,0.01191203,0.003439016,0.03910315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9944903,"threshold_uncertainty_score":0.04584783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03547252047443438,"score_gpt":0.3593076487617813,"score_spread":0.323835128287347,"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."}}