{"id":"W2176529280","doi":"10.1111/jep.12468","title":"Double checking: a second look","year":2015,"lang":"en","type":"article","venue":"Journal of Evaluation in Clinical Practice","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Institute of Population and Public Health; University of Ottawa","funders":"Technical Standards and Safety Authority; University of Ottawa","keywords":"Computer science; Process (computing); Conceptualization; Artificial intelligence; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.05992693,0.00007773652,0.0003078253,0.0001548208,0.0000948848,0.000002374617,0.0001551014,0.0002444237,0.001448323],"category_scores_gemma":[0.09311149,0.00006383956,0.00009162143,0.0002800434,0.00005580632,0.0009616356,0.00004462267,0.001700554,0.0004703916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003260104,"about_ca_system_score_gemma":0.003169045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001439925,"about_ca_topic_score_gemma":0.00004626321,"domain_scores_codex":[0.9921628,0.003606955,0.002643267,0.0001391048,0.001247884,0.0002000001],"domain_scores_gemma":[0.9854894,0.007038761,0.00377041,0.000220047,0.003144959,0.0003364462],"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":[0.01830461,0.005214015,0.3827075,0.0002426953,0.0004335598,0.0001811148,0.03567,0.005791097,0.00005561247,0.006701459,0.5098488,0.03484954],"study_design_scores_gemma":[0.01430426,0.0004960396,0.06659302,0.0002481865,0.0001707994,0.0000452386,0.009575582,0.001540858,0.000005023618,0.003561159,0.9033585,0.0001013457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6120575,0.0009628708,0.005299432,0.07407071,0.01419162,0.001573446,0.000002984954,0.00002552404,0.2918159],"genre_scores_gemma":[0.9854107,0.0001008075,0.004464371,0.007233179,0.001294644,0.00002701534,0.000005028268,0.00001223005,0.001451969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3935097,"threshold_uncertainty_score":0.9994645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5403514483449272,"score_gpt":0.6515910852533384,"score_spread":0.1112396369084112,"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."}}