{"id":"W2965897858","doi":"10.29173/cais975","title":"Quelles données satisferaient les utilisateurs de sites web de musées?","year":2018,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Library science; World Wide Web; Art; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0125937,0.0008446203,0.0009098735,0.005847147,0.002323732,0.01460338,0.001875617,0.002255953,0.004495425],"category_scores_gemma":[0.07296501,0.001151629,0.002308647,0.005999684,0.002521141,0.01639699,0.003391867,0.001780999,0.002177328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003138369,"about_ca_system_score_gemma":0.00338557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04347192,"about_ca_topic_score_gemma":0.05108137,"domain_scores_codex":[0.9836233,0.005616207,0.002028983,0.00206362,0.005882272,0.0007855814],"domain_scores_gemma":[0.9589307,0.02377814,0.00291133,0.005267958,0.008302181,0.0008097036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007545924,0.0002802195,0.3561581,0.003573159,0.0009154384,0.002659978,0.122681,0.007875413,0.02035028,0.03997634,0.007830784,0.4369446],"study_design_scores_gemma":[0.00008351592,0.0004121563,0.2827743,0.004341704,0.001057593,0.006186956,0.2441064,0.05029226,0.03285507,0.04959244,0.3274844,0.0008131954],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7576927,0.005786304,0.1543591,0.007133662,0.0001911732,0.000521894,0.005339431,0.002222473,0.06675327],"genre_scores_gemma":[0.9095857,0.00297613,0.0733446,0.0004668659,0.0000537879,0.0002446096,0.004494021,0.0006595818,0.008174707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04347192,"threshold_uncertainty_score":0.08643782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04797684389082815,"score_gpt":0.2485947637755921,"score_spread":0.200617919884764,"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."}}