{"id":"W2054143405","doi":"10.5380/ce.v19i3.37972","title":"CARACTERIZAÇÃO DE IDOSOS VÍTIMAS DE ACIDENTES POR CAUSAS EXTERNAS","year":2014,"lang":"pt","type":"article","venue":"Cogitare Enfermagem","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Medicine; Humanities; Art","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002555518,0.0005272373,0.0008588668,0.0001950853,0.0002936736,0.0000653029,0.000408029,0.0006744718,0.002507631],"category_scores_gemma":[0.002957138,0.0005243549,0.0004009056,0.0001885044,0.0002211856,0.0003122215,0.0002042104,0.0009765517,0.001748024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003050887,"about_ca_system_score_gemma":0.0002981093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001739154,"about_ca_topic_score_gemma":0.0000530696,"domain_scores_codex":[0.9956397,0.001413229,0.0008085229,0.0006780011,0.0002691924,0.001191334],"domain_scores_gemma":[0.9973152,0.0007578341,0.0003662807,0.0008504785,0.0002010583,0.0005091627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001127008,0.0005302257,0.8288367,0.00124326,0.0007427113,0.001038635,0.005824729,0.00004703583,0.03667883,0.001784175,0.0597825,0.06236423],"study_design_scores_gemma":[0.002438551,0.001025143,0.9358186,0.001441355,0.00127721,0.0006852917,0.0007715829,0.005032796,0.01057495,0.002600299,0.03742456,0.000909648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.914584,0.003123197,0.06643199,0.00281118,0.002573397,0.0007624997,0.0001228283,0.0002942125,0.009296626],"genre_scores_gemma":[0.9639304,0.000301426,0.0007435195,0.004818878,0.001739661,0.00005188887,0.0003646151,0.00008435393,0.02796531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1069819,"threshold_uncertainty_score":0.9997208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04046782963697975,"score_gpt":0.3513972073574547,"score_spread":0.3109293777204749,"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."}}