{"id":"W2772894323","doi":"","title":"Office national du film du Canada : né de la guerre","year":2010,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science","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":[0.001229528,0.0009280678,0.0007058675,0.002172037,0.00625201,0.007674567,0.0009865228,0.001865104,0.1141325],"category_scores_gemma":[0.004333263,0.0005569668,0.0003953441,0.003305395,0.001382726,0.002564593,0.001532423,0.00320943,0.01221142],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0423473,"about_ca_system_score_gemma":0.09381054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9749196,"about_ca_topic_score_gemma":0.9824631,"domain_scores_codex":[0.9976249,0.0001399983,0.00006184512,0.0003427352,0.001085596,0.000744931],"domain_scores_gemma":[0.995265,0.0002991847,0.000189884,0.0001295774,0.003060048,0.001056334],"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":[0.0001299108,0.00003586286,0.004819974,0.0002354002,0.00002390527,0.0003192382,0.001422412,0.0001845862,0.0006787682,0.07647876,0.8402691,0.0754021],"study_design_scores_gemma":[0.000006109184,0.00000283981,0.006449401,0.00008658835,0.000005372335,0.00004947587,0.0004398871,0.00005546063,0.0001885749,0.0003540423,0.9923495,0.00001281342],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01785824,0.06869251,0.002435435,0.09949448,0.009331393,0.0002012293,0.0244459,0.0008680892,0.7766727],"genre_scores_gemma":[0.07345234,0.01482805,0.001637136,0.002324433,0.0005477598,0.00006874717,0.00313646,0.0002629073,0.9037422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9576527,"threshold_uncertainty_score":0.3818113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004259934683555473,"score_gpt":0.1418507938148431,"score_spread":0.1375908591312876,"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."}}