{"id":"W2901307170","doi":"","title":"Toronto 2018: Toronto strong","year":2018,"lang":"es","type":"article","venue":"Dirigido por ...: Revista de cine","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006017623,0.0007740935,0.001273472,0.00004904878,0.0004010129,0.0001466588,0.000427818,0.0002967646,0.01371607],"category_scores_gemma":[0.0003094287,0.0006709411,0.0004486219,0.0001825428,0.0005047945,0.0004614618,0.0002136293,0.000272916,0.0009203443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531094,"about_ca_system_score_gemma":0.0002844166,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01224874,"about_ca_topic_score_gemma":0.008325444,"domain_scores_codex":[0.9958401,0.0001401543,0.001050029,0.0009403024,0.0006563062,0.001373117],"domain_scores_gemma":[0.9970503,0.00008323519,0.0003080546,0.001341754,0.0005649268,0.0006516867],"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":[0.001049875,0.0007634834,0.08569019,0.002045358,0.002020066,0.0002614823,0.005409816,5.877e-7,0.006195797,0.04252658,0.7586675,0.09536931],"study_design_scores_gemma":[0.001740814,0.001344215,0.1101097,0.001131304,0.0009409763,0.00004536116,0.003153285,0.00003770693,0.0004357723,0.00002692804,0.8803573,0.0006766429],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1996571,0.2871621,0.0003882411,0.002177759,0.003884474,0.001201011,0.0002718498,0.0004038437,0.5048536],"genre_scores_gemma":[0.9564853,0.01603883,0.0003944722,0.000752306,0.009154108,0.00004840447,0.0001184005,0.0001436241,0.0168645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7568282,"threshold_uncertainty_score":0.9998575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170845017675372,"score_gpt":0.3208006457536213,"score_spread":0.2990921955768676,"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."}}