{"id":"W7018646479","doi":"","title":"Droit d'auteur au sein des musées nationaux québécois : application des outils juridiques du droit d'auteur-évolution, changement et tendance à l'ère du numérique","year":2018,"lang":"fr","type":"other","venue":"Archipelago (Université du Québec à Montréal)","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Authorization; Private sector","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004037217,0.0005858389,0.0004874564,0.004873015,0.006931164,0.006893381,0.001606461,0.0009022523,0.02339955],"category_scores_gemma":[0.01382478,0.0002778863,0.0005264969,0.005952485,0.0031038,0.002794456,0.003641408,0.001530105,0.001387984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03362539,"about_ca_system_score_gemma":0.02709285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8872886,"about_ca_topic_score_gemma":0.9434277,"domain_scores_codex":[0.9977799,0.000522722,0.00009083743,0.0003009226,0.001000201,0.0003053651],"domain_scores_gemma":[0.9918498,0.001705559,0.0005957304,0.0003559356,0.004681086,0.0008120668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004419153,0.0001932854,0.2792005,0.001908987,0.0001972323,0.0009681974,0.2762542,0.003524047,0.002585985,0.07235176,0.0489444,0.3134296],"study_design_scores_gemma":[0.00002861261,0.0001258231,0.4777831,0.002266898,0.0001489087,0.000188038,0.2429179,0.003368289,0.001734189,0.004828068,0.2663701,0.0002400503],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5752835,0.004491474,0.006580923,0.006026493,0.0006034559,0.0007027649,0.005065155,0.0002686539,0.4009775],"genre_scores_gemma":[0.8730752,0.002058795,0.007784562,0.0004682587,0.00005967588,0.0005106012,0.001521562,0.00009993192,0.1144215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1127114,"threshold_uncertainty_score":0.2439705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109154688578175,"score_gpt":0.2097888002125317,"score_spread":0.1986972533267499,"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."}}