{"id":"W2571103164","doi":"","title":"Toronto 2016: torrente de emociones","year":2016,"lang":"es","type":"article","venue":"Dirigido por ...: Revista de cine","topic":"Interdisciplinary Cultural and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography","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":[0.0008888795,0.0004004581,0.0006240596,0.00002671045,0.001307242,0.0002861554,0.000533006,0.0002514322,0.001673859],"category_scores_gemma":[0.0003280571,0.0002465151,0.0004029681,0.000182972,0.000663375,0.0005312206,0.0002797367,0.0001452227,0.0004692979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001434017,"about_ca_system_score_gemma":0.0002390406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003879766,"about_ca_topic_score_gemma":0.001795882,"domain_scores_codex":[0.9970784,0.0003786776,0.0005269028,0.0005064532,0.0004769735,0.001032568],"domain_scores_gemma":[0.9985588,0.0002034861,0.000289445,0.0003068771,0.0002798041,0.0003616291],"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":[0.0003834436,0.0005372388,0.04135485,0.0003589957,0.0006234928,0.0001270657,0.0558254,4.037562e-7,0.007106603,0.3103168,0.4776876,0.105678],"study_design_scores_gemma":[0.0006621353,0.0001958014,0.02027982,0.0009725832,0.000145,0.000006140474,0.007967545,0.000002238,0.0001223003,0.001649959,0.9674593,0.0005371804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6279415,0.04254545,0.0003108073,0.08485892,0.002774719,0.001140214,0.0003249211,0.0004457727,0.2396577],"genre_scores_gemma":[0.8867032,0.01916964,0.00008727142,0.0004225527,0.003480877,0.00003689981,0.00001087745,0.00003535865,0.09005336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4897717,"threshold_uncertainty_score":0.9999987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600608128634783,"score_gpt":0.3282546229547516,"score_spread":0.3122485416684038,"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."}}