{"id":"W2740253093","doi":"","title":"REGARD sur le court métrage au Saguenay : quand les courts voient grand","year":2010,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; 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":[0.008419754,0.0007732802,0.001035379,0.001361125,0.02180008,0.01751203,0.002444745,0.01967237,0.01879923],"category_scores_gemma":[0.02593697,0.0007037038,0.0007951524,0.001490281,0.01445654,0.007460615,0.004577802,0.02407449,0.001691389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02745884,"about_ca_system_score_gemma":0.03797214,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6119077,"about_ca_topic_score_gemma":0.6657712,"domain_scores_codex":[0.9884495,0.003586686,0.0002869557,0.001250357,0.003208139,0.003218419],"domain_scores_gemma":[0.9932174,0.002478687,0.0004553331,0.0002741911,0.002526337,0.001048057],"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":[0.00007494148,0.00002420353,0.001568359,0.00007100826,0.00002875482,0.0008073439,0.0132355,0.0002052446,0.0003920703,0.8565723,0.1086225,0.01839762],"study_design_scores_gemma":[0.00003753677,0.00002865042,0.004372425,0.0003183998,0.00003037607,0.0003989127,0.01238043,0.0002413188,0.0003529167,0.04092443,0.9408314,0.00008319665],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04157906,0.02569573,0.002936257,0.6380767,0.007108663,0.00004256161,0.0002000382,0.0001420184,0.284219],"genre_scores_gemma":[0.632937,0.006824677,0.001628072,0.07966818,0.00482314,0.00008315277,0.00008718509,0.0002224169,0.2737262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6119077,"threshold_uncertainty_score":0.7807556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05903625830783021,"score_gpt":0.2751635051628704,"score_spread":0.2161272468550402,"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."}}