{"id":"W2149319488","doi":"10.7202/013051ar","title":"Une excentrique au coeur de l’industrie : Ray Lewis et le Canadian Moving Picture Digest1","year":2006,"lang":"fr","type":"article","venue":"Cinémas Revue d études cinématographiques","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001099206,0.0008461038,0.001472827,0.001358231,0.0006854111,0.0003091237,0.0006332398,0.000979032,0.0002900524],"category_scores_gemma":[0.0003735211,0.001124147,0.0006267686,0.001837714,0.0005385686,0.0005854956,0.0001626672,0.00112581,0.0001275825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001012634,"about_ca_system_score_gemma":0.001040508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5053414,"about_ca_topic_score_gemma":0.6863214,"domain_scores_codex":[0.9950237,0.0001576653,0.001479128,0.001172057,0.0001147309,0.00205269],"domain_scores_gemma":[0.9971638,0.0003087026,0.0007162461,0.0008705364,0.0002081724,0.0007325129],"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":[0.00001827878,0.0003056029,0.389224,0.0004247369,0.0002686842,0.0002596036,0.001804554,0.0006522718,0.00004237504,0.5652753,0.03956398,0.002160573],"study_design_scores_gemma":[0.0009651834,0.0001128643,0.2126046,0.0005921752,0.00008294943,0.00008752666,0.0008182036,0.0002302942,0.0002235567,0.003837788,0.7794977,0.0009471152],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4274242,0.09945083,0.002050742,0.1505073,0.003969554,0.0015885,0.001298853,0.0003741761,0.3133359],"genre_scores_gemma":[0.9518582,0.01546089,0.00111828,0.002027094,0.001667915,0.0001458268,0.0002155156,0.0001817306,0.02732454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7399337,"threshold_uncertainty_score":0.9991209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015332361722274,"score_gpt":0.2163478995646822,"score_spread":0.1961945759474595,"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."}}