{"id":"W2757220430","doi":"10.1136/injuryprev-2017-042463","title":"Empirical validation of the New Zealand serious non-fatal injury outcome indicator for ‘all injury’","year":2017,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Accident Compensation Corporation","keywords":"Forensic engineering; Injury prevention; Poison control; Occupational safety and health; Human factors and ergonomics; Suicide prevention; Engineering; Medical emergency; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0439532,0.0005341023,0.0007750036,0.00206719,0.0008640552,0.001717059,0.001931362,0.0006318017,0.001632753],"category_scores_gemma":[0.1858345,0.0003465797,0.001044802,0.002404875,0.00255263,0.002059314,0.002922578,0.001536632,0.0003750376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003492447,"about_ca_system_score_gemma":0.005608491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1135928,"about_ca_topic_score_gemma":0.08717141,"domain_scores_codex":[0.9764912,0.01005446,0.003014695,0.002499198,0.006927466,0.001012929],"domain_scores_gemma":[0.8881897,0.0377381,0.03298082,0.01289118,0.02458646,0.003613706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002984276,0.0001597209,0.9800218,0.0001772989,0.0002538658,0.00009640956,0.001755223,0.001234211,0.0002202048,0.003078183,0.001532813,0.01117196],"study_design_scores_gemma":[0.00003892438,0.0002995518,0.990401,0.0001263718,0.00007558574,0.00009975871,0.001104732,0.002993622,0.0003659913,0.0007044435,0.00376891,0.00002118895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703835,0.0003091377,0.009245622,0.001144717,0.0001366402,0.0006914224,0.002308365,0.0000392654,0.01574127],"genre_scores_gemma":[0.9933532,0.00007829994,0.003710923,0.000115086,0.00002559024,0.0003091172,0.00196265,0.00001332914,0.0004318027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1135928,"threshold_uncertainty_score":0.2324495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04833021277350286,"score_gpt":0.404341176795304,"score_spread":0.3560109640218011,"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."}}