{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001230497,0.001795278,0.00118906,0.006518629,0.001932365,0.003045716,0.004011947,0.002618905,0.02965014],"category_scores_gemma":[0.01202603,0.000672975,0.001989547,0.01386632,0.0005693427,0.001261105,0.001657682,0.002753704,0.01215056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02011221,"about_ca_system_score_gemma":0.03438697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.97678,"about_ca_topic_score_gemma":0.9861552,"domain_scores_codex":[0.9986786,0.0001299889,0.00009794295,0.0001935396,0.0004850791,0.0004147243],"domain_scores_gemma":[0.9943089,0.0007817775,0.0004556193,0.0005143076,0.003171409,0.000767857],"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":[0.0000489181,0.00001637173,0.004052814,0.0002051368,0.00003119403,0.00001597858,0.00003285302,0.0003038815,0.00001835949,0.0006002738,0.9920254,0.002648825],"study_design_scores_gemma":[0.000337232,0.00002297507,0.07307158,0.0008070041,0.0001781748,0.00005046311,0.0008154616,0.00318735,0.0003473719,0.001678286,0.919402,0.00010217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005097539,0.0001872537,0.00003597544,0.0007178119,0.0000548412,0.00001241187,0.9973092,0.00009045148,0.001082214],"genre_scores_gemma":[0.003600167,0.0003150465,0.0003596764,0.0002316905,0.00002535898,0.00007916021,0.9921221,0.00003564268,0.003231143],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02965014,"threshold_uncertainty_score":0.145925,"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."}}