{"id":"W4311398413","doi":"10.4000/hommesmigrations.14623","title":"Cinéma pour Tous : l’histoire de l’immigration par le cinéma","year":2022,"lang":"fr","type":"article","venue":"Hommes & migrations","topic":"African history and culture studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004146715,0.0002350604,0.0002659913,0.00008607354,0.009027037,0.00005570331,0.0003249397,0.0001074529,0.001555563],"category_scores_gemma":[0.00008478102,0.0002746662,0.0002355553,0.0008110673,0.0006469677,0.0003077343,0.0001104815,0.0003905491,0.0001139871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008113725,"about_ca_system_score_gemma":0.0007424377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003864667,"about_ca_topic_score_gemma":0.02996028,"domain_scores_codex":[0.9976951,0.0006931369,0.0002995256,0.0003758974,0.0004110947,0.0005252848],"domain_scores_gemma":[0.9991347,0.0001332149,0.0002071514,0.0002500545,0.0001154655,0.0001594113],"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":[0.0000102408,0.0003254507,0.0004881135,0.00001035644,0.00005433656,0.00001877899,0.1300896,0.0002877536,0.0005799787,0.07773156,0.7796921,0.01071172],"study_design_scores_gemma":[0.0001854539,0.0001027074,0.0009847505,0.000008452798,0.00009748138,0.00001152769,0.1964478,0.0000983974,0.00003246592,0.001748782,0.8000281,0.0002540235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0686763,0.2833408,0.002970479,0.4216013,0.004465814,0.0007870463,0.0004610452,0.0003637318,0.2173335],"genre_scores_gemma":[0.7566702,0.000324454,0.0003019381,0.001168623,0.0005756863,0.0002246897,0.0000497043,0.00001963167,0.240665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6879939,"threshold_uncertainty_score":0.9999706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528983446524996,"score_gpt":0.2456842571104557,"score_spread":0.2303944226452057,"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."}}