{"id":"W2068209703","doi":"10.7202/1001068ar","title":"Images technologiques : ce qu’il advient de la mémoire","year":2011,"lang":"fr","type":"article","venue":"Cinémas Revue d études cinématographiques","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Humanities; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000854793,0.0009100582,0.0008883442,0.0006195116,0.0003704996,0.001597725,0.001858618,0.0008918103,0.0001621892],"category_scores_gemma":[0.0003818873,0.0007887867,0.0006446166,0.001729684,0.001699775,0.003968085,0.0009183604,0.0009405848,0.0001063552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002228037,"about_ca_system_score_gemma":0.0003146236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001496965,"about_ca_topic_score_gemma":0.0001761193,"domain_scores_codex":[0.9955179,0.0005222302,0.0009416776,0.001213768,0.0003803168,0.001424094],"domain_scores_gemma":[0.9965252,0.0003100952,0.0004867317,0.001462572,0.0005117777,0.0007036108],"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":[0.00002951061,0.00089201,0.004415535,0.0004135123,0.0001816456,0.001150466,0.005495536,0.000005630999,0.002097083,0.9372718,0.01643851,0.03160872],"study_design_scores_gemma":[0.0005098346,0.001204573,0.03991365,0.002019362,0.0001644739,0.002689265,0.0007593523,0.0004534004,0.05852144,0.06195974,0.830141,0.001663895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07143175,0.03107076,0.01323545,0.004609309,0.001193676,0.0008937355,0.00009115057,0.002375288,0.8750989],"genre_scores_gemma":[0.9392025,0.01388959,0.03719532,0.001153165,0.0003298779,0.00009960456,0.00001447101,0.00009216277,0.008023341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8753121,"threshold_uncertainty_score":0.9994563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1445463289774684,"score_gpt":0.2935483590901033,"score_spread":0.1490020301126349,"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."}}