{"id":"W3171926843","doi":"10.2196/26503","title":"Assessing the Electronic Evidence System Needs of Canadian Public Health Professionals: Cross-sectional Study","year":2021,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Impact; McMaster University","funders":"","keywords":"Public health; Health informatics; Interpretability; Evidence-based practice; Scientific evidence; Psychology; Clinical decision support system; Public relations; Medical education; Medicine; Health care; Nursing; Computer science; Alternative medicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01358758,0.0003873389,0.0009543929,0.006314233,0.008478571,0.006293255,0.002535456,0.001725782,0.004067251],"category_scores_gemma":[0.06158381,0.001005945,0.001010571,0.01229579,0.002706184,0.002394221,0.003644688,0.001928426,0.0004766576],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07995204,"about_ca_system_score_gemma":0.1373366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9736284,"about_ca_topic_score_gemma":0.9788564,"domain_scores_codex":[0.979993,0.001796614,0.002380349,0.00112175,0.01046056,0.004247797],"domain_scores_gemma":[0.9304916,0.01097325,0.00972282,0.001402792,0.03745381,0.009955673],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001744906,0.000296556,0.9438695,0.0005269648,0.00007734739,0.0002699663,0.03417807,0.00007904424,0.0001872202,0.0004311681,0.003071938,0.01683781],"study_design_scores_gemma":[0.00003808213,0.0001626939,0.8916951,0.0006461176,0.00006813443,0.0002017946,0.09730621,0.0006070827,0.0001198964,0.000132978,0.008938705,0.00008305758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887827,0.0008543655,0.0001683717,0.002959487,0.00002057072,0.0005534301,0.00174236,0.00001362168,0.004905018],"genre_scores_gemma":[0.9954578,0.00103843,0.0008471316,0.0008704245,0.00001172863,0.0002153174,0.0007721015,0.00001088082,0.0007761683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9864124,"threshold_uncertainty_score":0.5800954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5335678635438094,"score_gpt":0.625084000541606,"score_spread":0.0915161369977966,"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."}}