{"id":"W2987600881","doi":"","title":"Lignes, murs, mers, cartes. Frontières dans le cinéma contemporain","year":2019,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Political and Social Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage","funders":"","keywords":"Computer 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"],"consensus_categories":[],"category_scores_codex":[0.009110235,0.0006512246,0.00103234,0.0001367293,0.00161626,0.0006656476,0.002435874,0.0009304261,0.0004808868],"category_scores_gemma":[0.0025524,0.0007300497,0.0006288282,0.0005888852,0.002641756,0.0003994217,0.001276329,0.001018207,0.0005758099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004914922,"about_ca_system_score_gemma":0.00140947,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1779865,"about_ca_topic_score_gemma":0.06061346,"domain_scores_codex":[0.9795397,0.01603444,0.0009707453,0.001274982,0.00102741,0.00115275],"domain_scores_gemma":[0.9916063,0.002899161,0.0007268577,0.002004234,0.002065613,0.0006978351],"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":[0.000009127479,0.0006136323,0.003449113,0.0001112145,0.0001485788,0.000008360718,0.1052909,0.00001205966,0.0007120765,0.872086,0.006149027,0.0114099],"study_design_scores_gemma":[0.001093587,0.000001795065,0.01215343,0.002298611,0.0001933275,0.000003856382,0.01514731,0.002126317,0.01357497,0.04956892,0.9023495,0.001488427],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07693226,0.009702344,0.01914162,0.1435715,0.002367825,0.001165797,0.0004077472,0.0003860542,0.7463248],"genre_scores_gemma":[0.6963133,0.001425962,0.00410147,0.0002715195,0.000210788,0.00006267575,0.0003919196,0.00006596281,0.2971565],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8962004,"threshold_uncertainty_score":0.9996835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721975681491427,"score_gpt":0.2516534645883968,"score_spread":0.2344337077734825,"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."}}