{"id":"W2739188233","doi":"","title":"L’image numérique au cinéma / L’image numérique au cinéma, Philippe Lemieux, Montréal : Les 400 coups, 2002, 175 pages","year":2003,"lang":"fr","type":"article","venue":"Séquences : la revue de cinéma","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Art","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":[0.000619896,0.001661251,0.000739432,0.003458151,0.001931416,0.006377854,0.0009345395,0.001599302,0.04603811],"category_scores_gemma":[0.002414783,0.0007552023,0.0003646382,0.004904042,0.00279751,0.003901177,0.001034314,0.001941918,0.005679258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01276219,"about_ca_system_score_gemma":0.00680446,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5168137,"about_ca_topic_score_gemma":0.5221224,"domain_scores_codex":[0.9995815,0.00008484412,0.00002041865,0.00008869948,0.0001749236,0.00004968108],"domain_scores_gemma":[0.9991094,0.0002250943,0.00006196981,0.00006211034,0.0004182606,0.0001231585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005749383,0.00002604204,0.0009427693,0.0006966737,0.00002377697,0.00008474533,0.001348627,0.0009243644,0.0009534163,0.05707959,0.7798854,0.1579771],"study_design_scores_gemma":[0.00001022631,0.000008127877,0.007665304,0.0008138767,0.00001601424,0.0002280649,0.0008259251,0.0006707235,0.0005164262,0.005041471,0.9841813,0.00002255596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.003206061,0.8464161,0.00397609,0.0342954,0.007118702,0.00002430495,0.0009889759,0.000340922,0.1036334],"genre_scores_gemma":[0.08172797,0.4589832,0.004558553,0.001769597,0.009883096,0.00006172448,0.001153774,0.0004772212,0.4413849],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5168137,"threshold_uncertainty_score":0.9720638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734243566773364,"score_gpt":0.2232936195433707,"score_spread":0.205951183875637,"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."}}