{"id":"W2917764775","doi":"10.7202/1055127ar","title":"Données bibliométriques et informations","year":2019,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.006964574,0.001173358,0.001677189,0.01518648,0.002374301,0.01612801,0.001924828,0.002554673,0.02662793],"category_scores_gemma":[0.04855712,0.001126015,0.001487015,0.03213429,0.002841849,0.01174903,0.002782588,0.002196806,0.008018405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005488324,"about_ca_system_score_gemma":0.005522302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03289375,"about_ca_topic_score_gemma":0.01818185,"domain_scores_codex":[0.9797935,0.005755298,0.00196234,0.002246929,0.009751556,0.0004903033],"domain_scores_gemma":[0.9687016,0.01726113,0.002004187,0.004117295,0.007554499,0.0003612842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003360229,0.0001379931,0.01352732,0.006710672,0.0004467324,0.0004304661,0.00382769,0.03282815,0.005402067,0.3512884,0.03474636,0.5503182],"study_design_scores_gemma":[0.00006542616,0.0001190463,0.01497094,0.002134229,0.0002471436,0.001016418,0.003278024,0.03632661,0.01189312,0.2077535,0.721907,0.0002886195],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05390412,0.05322541,0.5305364,0.01483064,0.001570468,0.0009078047,0.03964561,0.00792857,0.297451],"genre_scores_gemma":[0.4588734,0.03836546,0.3943495,0.001712744,0.001032437,0.001044289,0.02531854,0.002088414,0.07721519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9848135,"threshold_uncertainty_score":0.08907932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1555577440767735,"score_gpt":0.3673543056921432,"score_spread":0.2117965616153697,"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."}}