{"id":"W1987106241","doi":"10.3917/docsi.381.0014","title":"Évaluer la demande et les besoins en informations : pour des enquêtes croisées","year":2001,"lang":"fr","type":"article","venue":"Documentaliste-Sciences de l Information","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01150972,0.0004031782,0.0007830701,0.005765705,0.002400791,0.003283696,0.0006008169,0.001037763,0.01054513],"category_scores_gemma":[0.04429688,0.0004676654,0.0005606613,0.005823796,0.000948001,0.003883587,0.001729453,0.001064195,0.002232885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002219974,"about_ca_system_score_gemma":0.002713923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01375173,"about_ca_topic_score_gemma":0.02427127,"domain_scores_codex":[0.9911643,0.00419818,0.0009916429,0.0006814169,0.002500352,0.0004640786],"domain_scores_gemma":[0.9372301,0.02883692,0.004434602,0.002490154,0.02549027,0.001517855],"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":[0.0008369887,0.000855637,0.3103763,0.002194727,0.0001451168,0.0007058268,0.2206056,0.0009174775,0.01226813,0.003082355,0.008480499,0.4395314],"study_design_scores_gemma":[0.00006763692,0.002185187,0.5285352,0.001098449,0.0002418928,0.0009608749,0.3372681,0.004852422,0.01351089,0.002115327,0.1089358,0.0002281988],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747511,0.001079036,0.008785032,0.001426082,0.00006253702,0.0004326623,0.0006260403,0.0001495381,0.01268809],"genre_scores_gemma":[0.943418,0.001496769,0.01931791,0.0002725349,0.0000568222,0.0007977625,0.001273586,0.0001450816,0.03322147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01375173,"threshold_uncertainty_score":0.06086993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1770577559534396,"score_gpt":0.3687218799061951,"score_spread":0.1916641239527555,"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."}}