{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001002735,0.0005527494,0.0003030173,0.001938338,0.004727553,0.007737712,0.0003140578,0.002489674,0.03450552],"category_scores_gemma":[0.002711388,0.000250058,0.0001664617,0.001727302,0.003988562,0.005131318,0.00137907,0.003114424,0.00280958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002984433,"about_ca_system_score_gemma":0.000797808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02542695,"about_ca_topic_score_gemma":0.02981951,"domain_scores_codex":[0.9992791,0.0004434343,0.00001209641,0.00009944494,0.00009556014,0.00007035299],"domain_scores_gemma":[0.9990251,0.0006017773,0.00009600714,0.00004623197,0.0001334683,0.00009734621],"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":[0.00007047122,0.00001916596,0.0006884296,0.0002103258,0.000007768282,0.0002583701,0.03522065,0.0000967108,0.0004647753,0.8825293,0.05098628,0.0294478],"study_design_scores_gemma":[0.00001698641,0.00002578954,0.004694781,0.0004365063,0.00001272259,0.000601267,0.0213397,0.0002057659,0.0002415553,0.0443778,0.9280313,0.00001587629],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05225442,0.179785,0.003384089,0.08183459,0.003044602,0.00002401969,0.0004323773,0.00015169,0.6790892],"genre_scores_gemma":[0.7821322,0.03362124,0.0009453817,0.001811777,0.003490543,0.00003885958,0.0001717789,0.0001253069,0.1776629],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03450552,"threshold_uncertainty_score":0.1154324,"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."}}