{"id":"W2902612135","doi":"10.24875/gmm.m18000184","title":"Mexico City, cradle of the first radiologic study in the Mexican Republic","year":2018,"lang":"en","type":"article","venue":"Gaceta Médica de México","topic":"History of Medical Practice","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cytodiagnostics (Canada)","funders":"","keywords":"Mexico city; Geography; Medicine; History; Ethnology","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":[0.0005941132,0.0002241023,0.0002054926,0.001450529,0.002512336,0.001229461,0.0004342553,0.001316689,0.00543461],"category_scores_gemma":[0.001896232,0.0003463039,0.0002327833,0.0009905196,0.0009918322,0.0006685503,0.00102996,0.002501899,0.0004049956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004291181,"about_ca_system_score_gemma":0.00381521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09128109,"about_ca_topic_score_gemma":0.2094405,"domain_scores_codex":[0.9996527,0.00005698913,0.00002048435,0.00005668904,0.00006207729,0.0001509964],"domain_scores_gemma":[0.9990367,0.0001583238,0.0001756644,0.00007997346,0.0003175231,0.0002319414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001310958,0.0008789893,0.638316,0.0009226329,0.0002161287,0.05016009,0.01835443,0.000584561,0.02019248,0.02090171,0.1125427,0.1356194],"study_design_scores_gemma":[0.00005503585,0.0002010014,0.7328138,0.0006478827,0.00007830516,0.009968795,0.01890466,0.0001171464,0.002619717,0.0005130901,0.234036,0.00004449006],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8817577,0.005721554,0.001251985,0.04359056,0.001568786,0.0001829016,0.002825638,0.00007730054,0.06302355],"genre_scores_gemma":[0.9682795,0.004877463,0.001380141,0.003575643,0.0009185043,0.00009563325,0.001039177,0.0000487836,0.01978511],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09128109,"threshold_uncertainty_score":0.1814995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04724210649261681,"score_gpt":0.3163058735461074,"score_spread":0.2690637670534906,"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."}}