{"id":"W2510410817","doi":"10.7202/1028197ar","title":"Les 25 ans de SDM : une histoire à suivre","year":2015,"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":"Ministry of Education, Recreation and Sports","funders":"","keywords":"Political science; Humanities; French; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002707856,0.0003689679,0.0002050593,0.005004815,0.005661677,0.005958106,0.0007161975,0.001321795,0.01160356],"category_scores_gemma":[0.007779255,0.0001771876,0.0002954142,0.005213714,0.005826422,0.004472378,0.002556981,0.002345702,0.001350148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008956009,"about_ca_system_score_gemma":0.01060864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1844082,"about_ca_topic_score_gemma":0.2407428,"domain_scores_codex":[0.9983239,0.0003590308,0.0001143246,0.0002447171,0.0006914905,0.0002665418],"domain_scores_gemma":[0.9957303,0.001277449,0.0005079456,0.0003008557,0.001729389,0.0004540449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001504326,0.00006450275,0.01447829,0.0007243478,0.00002847696,0.001918912,0.2158732,0.0003139347,0.001477669,0.4127074,0.08002553,0.2722372],"study_design_scores_gemma":[0.000002438916,0.00001838265,0.0107745,0.0003772931,0.000005388201,0.0003015732,0.0159802,0.00004358854,0.0003032905,0.004158857,0.9680204,0.00001411214],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1221126,0.07035702,0.009796363,0.07113123,0.004447803,0.0001732929,0.001702019,0.0002361348,0.7200435],"genre_scores_gemma":[0.6707638,0.05140646,0.00620025,0.007167932,0.001992562,0.0001926316,0.0009988089,0.0002260565,0.2610515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9940419,"threshold_uncertainty_score":0.3666697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2189518773283937,"score_gpt":0.3790606416877241,"score_spread":0.1601087643593305,"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."}}