{"id":"W4300794979","doi":"10.4000/books.pupo.21702","title":"Filmer le musée et ses acteurs","year":2018,"lang":"fr","type":"book-chapter","venue":"Presses universitaires de Paris Nanterre eBooks","topic":"Cultural Identity and Heritage","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001250332,0.0006530405,0.0002964892,0.001196445,0.006530303,0.008976622,0.0006902289,0.001517894,0.02238383],"category_scores_gemma":[0.002853815,0.0003583688,0.0002915482,0.001268023,0.008573947,0.006558474,0.003791682,0.003557669,0.0042378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002861888,"about_ca_system_score_gemma":0.001725124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01071075,"about_ca_topic_score_gemma":0.01341083,"domain_scores_codex":[0.9988004,0.0005649352,0.00003255454,0.000140155,0.0003029619,0.000159067],"domain_scores_gemma":[0.9993563,0.0002227443,0.0000680026,0.00009021511,0.0001148795,0.0001478298],"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":[0.00008181389,0.00004113402,0.0009625991,0.0003229279,0.00001631542,0.000847686,0.1708526,0.0001308834,0.002131147,0.6289753,0.1097042,0.08593337],"study_design_scores_gemma":[0.000005493584,0.00001481991,0.001094333,0.0003033658,0.000005411277,0.0003431137,0.02172607,0.00004302707,0.0003674755,0.006641215,0.9694443,0.00001138261],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02066981,0.01660212,0.002135367,0.0133774,0.001876623,0.00004410479,0.0001175838,0.0001047549,0.9450723],"genre_scores_gemma":[0.2920965,0.01581311,0.003225605,0.001814261,0.001404559,0.00007132987,0.000126223,0.0002890329,0.6851595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02238383,"threshold_uncertainty_score":0.07488137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03313881159527627,"score_gpt":0.2256090874255763,"score_spread":0.1924702758303,"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."}}