{"id":"W2417268199","doi":"10.29173/cais5","title":"Metadata et profil utilisateur","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.009944862,0.000806021,0.0006574143,0.006261393,0.002239367,0.01444132,0.001498463,0.001996067,0.01238463],"category_scores_gemma":[0.01895179,0.0006750848,0.0007207138,0.007142502,0.004236342,0.02151887,0.006153937,0.002525935,0.005782368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003286983,"about_ca_system_score_gemma":0.003737241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007564823,"about_ca_topic_score_gemma":0.004793256,"domain_scores_codex":[0.9870919,0.003768555,0.001545636,0.001648474,0.005236344,0.000709186],"domain_scores_gemma":[0.9808714,0.006291786,0.001498433,0.004363874,0.006344563,0.0006299263],"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":[0.0001478078,0.00005308424,0.004555499,0.0006091552,0.00003166556,0.000279043,0.009432087,0.0009469143,0.004546688,0.7949109,0.01768149,0.1668056],"study_design_scores_gemma":[0.00002605642,0.00009420003,0.002356769,0.001029221,0.00004678992,0.000828466,0.003909654,0.004019734,0.01038283,0.1467456,0.8303926,0.0001681174],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05120259,0.01053231,0.6138521,0.01818778,0.001309324,0.000580022,0.005395477,0.007493115,0.2914473],"genre_scores_gemma":[0.4082339,0.01241491,0.365445,0.003352498,0.001487229,0.001212624,0.009199311,0.003603342,0.1950512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01444132,"threshold_uncertainty_score":0.05259407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04691273594736711,"score_gpt":0.2647341540724865,"score_spread":0.2178214181251194,"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."}}