{"id":"W1969452244","doi":"10.7202/024802ar","title":"De l’intermédialité au multimédia : cinéma, médias, avènement du son","year":2007,"lang":"fr","type":"article","venue":"Cinémas Revue d études cinématographiques","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.002428607,0.0006793471,0.0003522787,0.002686637,0.003587858,0.01416776,0.0007565583,0.001544686,0.01404321],"category_scores_gemma":[0.0062489,0.0003073367,0.0003495122,0.00301158,0.01157276,0.0104488,0.003639962,0.003076785,0.001283752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002803252,"about_ca_system_score_gemma":0.002359362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005284704,"about_ca_topic_score_gemma":0.005525713,"domain_scores_codex":[0.9981633,0.000906243,0.00008092364,0.0002251123,0.0004670412,0.0001574428],"domain_scores_gemma":[0.9951879,0.002803971,0.0005912698,0.000424453,0.0006631874,0.0003292667],"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":[0.00008111707,0.00003328425,0.002028469,0.0003720119,0.00001483199,0.0003371045,0.05786827,0.0002069995,0.002467143,0.8577081,0.003346654,0.07553595],"study_design_scores_gemma":[0.00002391869,0.0001578787,0.01019772,0.001279837,0.0000676713,0.002005949,0.05706343,0.001036789,0.006881843,0.1759546,0.7452425,0.00008784602],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1277629,0.0388805,0.03599617,0.01543981,0.001757555,0.00008698669,0.0001593016,0.0002479079,0.7796688],"genre_scores_gemma":[0.8830412,0.0161439,0.01018325,0.0007870643,0.001616608,0.00008894984,0.00006780739,0.0001860459,0.08788516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01416776,"threshold_uncertainty_score":0.04697925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1607178534610544,"score_gpt":0.3173208273181505,"score_spread":0.156602973857096,"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."}}