{"id":"W2626439002","doi":"10.26522/vp.v14i1.1562","title":"Lavigne, Mishka. Cinéma","year":2017,"lang":"fr","type":"article","venue":"Voix Plurielles","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003658876,0.0009923833,0.000488656,0.002551462,0.001355088,0.003974223,0.0005831094,0.002057695,0.307804],"category_scores_gemma":[0.001883721,0.0002872712,0.0001844427,0.002448974,0.0007377319,0.003168108,0.001467008,0.001465681,0.1320893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007216047,"about_ca_system_score_gemma":0.0004680514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006219376,"about_ca_topic_score_gemma":0.01212483,"domain_scores_codex":[0.999689,0.00007891283,0.00001495452,0.0000817731,0.00009784868,0.00003765818],"domain_scores_gemma":[0.9993578,0.0002786871,0.00005389217,0.00005294263,0.0001242678,0.000132461],"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":[0.00004298932,0.00002307099,0.0002429666,0.0004025771,0.00000600389,0.0001022794,0.0007079988,0.00005731151,0.0001977005,0.01867141,0.7650735,0.2144722],"study_design_scores_gemma":[0.000004774504,0.000009247834,0.0007529361,0.0001545791,0.000002917329,0.0001866776,0.0003351673,0.00004090766,0.00005387292,0.001544752,0.9969098,0.000004408705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003130189,0.3136708,0.001902906,0.04243828,0.01862971,0.00003177218,0.001852991,0.001095183,0.6172482],"genre_scores_gemma":[0.0493915,0.09778637,0.001381551,0.004652357,0.00802511,0.00006005797,0.0006504754,0.0007079967,0.8373446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.307804,"threshold_uncertainty_score":0.9873335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893311732711541,"score_gpt":0.2415080612509524,"score_spread":0.212574943923837,"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."}}