{"id":"W2672324365","doi":"","title":"L’ange de goudron : De l’exil et d’autres réalités / L’ange de goudron, Canada [Québec) 2001, 110 minutes","year":2001,"lang":"fr","type":"article","venue":"S&#233;quences : La revue de cin&#233;ma","topic":"Migration and Exile Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003766775,0.001081151,0.001239268,0.0002816045,0.001773829,0.0005024741,0.001589058,0.0009049079,0.004530813],"category_scores_gemma":[0.001939796,0.001157884,0.0005216419,0.001701735,0.001632413,0.0008897198,0.0002888808,0.001239404,0.000286959],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004237724,"about_ca_system_score_gemma":0.008456952,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9674725,"about_ca_topic_score_gemma":0.9964465,"domain_scores_codex":[0.9903542,0.00237536,0.001292081,0.001358501,0.001118604,0.003501285],"domain_scores_gemma":[0.99481,0.001709932,0.0007147914,0.0008828599,0.0004377192,0.001444627],"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":[0.0001441092,0.0004564531,0.1731822,0.001056268,0.0004371548,0.001860583,0.05846617,0.0004156698,0.0005697553,0.03697375,0.7111526,0.01528534],"study_design_scores_gemma":[0.0007455286,0.0002260019,0.0339871,0.0009149914,0.0003165774,0.0004784523,0.02283262,0.001080974,0.0004065045,0.004030096,0.9335858,0.001395361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4317269,0.07351406,0.0003505442,0.2835725,0.002634369,0.001217461,0.0005704777,0.0004581136,0.2059555],"genre_scores_gemma":[0.7514357,0.03557387,0.002477033,0.008838785,0.00315208,0.0003446386,0.00008793033,0.0001564524,0.1979335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3197087,"threshold_uncertainty_score":0.9995849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03078994548655329,"score_gpt":0.2868308052094017,"score_spread":0.2560408597228485,"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."}}