{"id":"W6986538269","doi":"","title":"Pour un cinÃ©ma lÃ©ger et synchroneÂ !","year":2012,"lang":"fr","type":"book","venue":"Directory of Open access Books (OAPEN Foundation)","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Point (geometry); Order (exchange)","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001989332,0.0009304776,0.002545198,0.0008127769,0.0005628303,0.001484552,0.003533066,0.0003682705,0.07392354],"category_scores_gemma":[0.0006485849,0.001182777,0.0005440027,0.0003243116,0.0006847914,0.004801369,0.003054889,0.0007142748,0.0150965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009272961,"about_ca_system_score_gemma":0.0009405034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001435123,"about_ca_topic_score_gemma":0.0005815895,"domain_scores_codex":[0.994996,0.0001791635,0.002324982,0.001327985,0.0002501342,0.0009217894],"domain_scores_gemma":[0.9939927,0.0009699994,0.003054489,0.001259057,0.0003971697,0.0003265463],"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":[0.0001102422,0.0005154562,0.08287891,0.0007614915,0.001375724,0.00001625018,0.0006917773,0.0000173301,0.00002839179,0.7408271,0.02087462,0.1519026],"study_design_scores_gemma":[0.001405785,0.00005859561,0.1246439,0.0005145392,0.0002035201,0.00001015031,0.00006423676,0.00004169338,0.0002071473,0.01664811,0.8550503,0.00115204],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009448498,0.006401751,0.0007070585,0.002424647,0.006828187,0.002076624,0.0001159904,0.00006213146,0.9719351],"genre_scores_gemma":[0.1285293,0.006230248,0.001795335,0.001358589,0.001281823,0.0004418324,0.001153037,0.0002548744,0.858955],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8341757,"threshold_uncertainty_score":0.999552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1207091866043437,"score_gpt":0.3570749964391253,"score_spread":0.2363658098347816,"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."}}