{"id":"W1464100769","doi":"10.7202/1029185ar","title":"Modélisation conceptuelle de l’information bibliographique et muséologique : CIDOC CRM et FRBRoo","year":2015,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; 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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005886546,0.0006452165,0.0006708519,0.004707805,0.00175566,0.01007085,0.001673965,0.001965496,0.003831956],"category_scores_gemma":[0.007183449,0.0005524828,0.001302197,0.00525046,0.002606911,0.007543385,0.002803153,0.001990122,0.001416631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005611286,"about_ca_system_score_gemma":0.006755412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05838283,"about_ca_topic_score_gemma":0.03968873,"domain_scores_codex":[0.9961084,0.001121735,0.000318414,0.0006457604,0.001513416,0.0002924047],"domain_scores_gemma":[0.9969124,0.001060714,0.000243225,0.0007107162,0.0008899153,0.0001830593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000139454,0.00008188419,0.003438419,0.000474455,0.00007733013,0.0006291942,0.0038842,0.01543037,0.003163738,0.8757156,0.009191793,0.08777357],"study_design_scores_gemma":[0.00007106016,0.00005747399,0.003027454,0.0006651879,0.0001198032,0.0007781686,0.0022784,0.09611204,0.00848003,0.1165256,0.7717541,0.0001305799],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03711255,0.003573041,0.8474247,0.005451395,0.0004565119,0.0007877287,0.003242167,0.003674666,0.09827727],"genre_scores_gemma":[0.3182442,0.003841276,0.6159353,0.0009803786,0.0002431366,0.0007818507,0.00619377,0.0007865308,0.05299345],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9899291,"threshold_uncertainty_score":0.116086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06142770269694291,"score_gpt":0.3439270740730568,"score_spread":0.2824993713761139,"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."}}