{"id":"W4241465246","doi":"10.1037/e509012013-170","title":"A Safer Ride: How Can Health Care Professionals Impact the #1 Killer of Canadian Children?","year":2004,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Child and Adolescent Health","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"SAFER; Health professionals; Health care; Business; Nursing; Internet privacy; Medical emergency; Medicine; Psychology; Computer security; Computer science; Political science; Law","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","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001292418,0.000914644,0.001392407,0.001090931,0.00230557,0.00004285989,0.001813721,0.000851947,0.002402116],"category_scores_gemma":[0.0002357932,0.0005794298,0.0003141132,0.001071911,0.0002357323,0.0001374521,0.0003601101,0.00407078,0.0004335924],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001876211,"about_ca_system_score_gemma":0.02270371,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7631583,"about_ca_topic_score_gemma":0.8752565,"domain_scores_codex":[0.9928199,0.001521371,0.001447202,0.001032017,0.0009504849,0.002229024],"domain_scores_gemma":[0.9931329,0.0003449772,0.001493938,0.003163996,0.0002438554,0.001620311],"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":[0.00006253931,0.000178483,0.001071786,0.001603016,0.0001568212,0.00001297766,0.001409459,0.000001843505,2.415659e-7,0.00002939759,0.9951407,0.0003327132],"study_design_scores_gemma":[0.001365104,0.0001568885,0.02389151,0.003275434,0.0001036939,0.00001941535,0.002411157,1.980225e-7,4.758406e-7,0.00001734151,0.9682297,0.0005290686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000301821,0.00322663,7.336005e-7,0.040952,0.002002197,0.004461816,0.9489957,0.00003627639,0.00002279905],"genre_scores_gemma":[0.002057588,0.001908254,0.00003681537,0.02466195,0.001487142,0.0000621061,0.96961,0.00008675791,0.00008931995],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1120982,"threshold_uncertainty_score":0.9996657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04434779849827473,"score_gpt":0.4233844284551175,"score_spread":0.3790366299568427,"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."}}