{"id":"W1972731846","doi":"10.1186/1471-2458-11-744","title":"The relevance of WHO injury surveillance guidelines for evaluation: learning from the aboriginal community-centered injury surveillance system (ACCISS) and two institution-based systems","year":2011,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Interior Health","funders":"Health Canada; Ministry of Health, British Columbia","keywords":"Medicine; Context (archaeology); Public health; Relevance (law); Injury surveillance; Poison control; Public health surveillance; Medical emergency; Occupational safety and health; Injury prevention; Biostatistics; Environmental health; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.5027637,0.001450951,0.002109506,0.008023921,0.007182558,0.01947826,0.005929523,0.007159649,0.001205292],"category_scores_gemma":[0.6110931,0.0011628,0.002993613,0.008734693,0.01390148,0.01630041,0.01196025,0.01041824,0.0003994257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04420445,"about_ca_system_score_gemma":0.1335003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1004097,"about_ca_topic_score_gemma":0.1460844,"domain_scores_codex":[0.3388359,0.5424674,0.05053286,0.005181709,0.05786569,0.005116335],"domain_scores_gemma":[0.3505973,0.358037,0.02581966,0.03035513,0.2270203,0.008170531],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004012918,0.001179546,0.05454974,0.01496507,0.0005192584,0.0007347305,0.1313354,0.005250166,0.0008663184,0.1205593,0.0743606,0.5952786],"study_design_scores_gemma":[0.000732582,0.003514057,0.09316862,0.1437609,0.001403925,0.0009068968,0.2458744,0.01931615,0.00502459,0.1476865,0.3374622,0.001149278],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08503053,0.04979907,0.1967007,0.5437112,0.007739929,0.02707975,0.001444406,0.000737422,0.08775712],"genre_scores_gemma":[0.4249513,0.01484035,0.5024863,0.03319189,0.0006804678,0.02062196,0.001000795,0.0002243896,0.002002393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5027637,"threshold_uncertainty_score":0.6131809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1893998815450844,"score_gpt":0.4336934818494835,"score_spread":0.244293600304399,"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."}}