{"id":"W1982861097","doi":"10.3390/ijerph7031002","title":"GIS and Injury Prevention and Control: History, Challenges, and Opportunities","year":2010,"lang":"en","type":"review","venue":"International Journal of Environmental Research and Public Health","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Michael Smith Health Research BC","keywords":"Injury prevention; Poison control; Suicide prevention; Geographic information system; Human factors and ergonomics; Injury surveillance; Medicine; Environmental planning; Risk analysis (engineering); Geography; Environmental health; Medical emergency; Business; Cartography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.004100387,0.001101477,0.002249892,0.004726751,0.0007324364,0.002958672,0.001662635,0.003345025,0.003723654],"category_scores_gemma":[0.006177057,0.0005446219,0.0007930486,0.006934043,0.003322843,0.004885892,0.001630511,0.003023788,0.0009025817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002114002,"about_ca_system_score_gemma":0.004019234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00915509,"about_ca_topic_score_gemma":0.008118575,"domain_scores_codex":[0.9982138,0.0008930158,0.0001741214,0.0001695211,0.0004645173,0.00008505932],"domain_scores_gemma":[0.9924219,0.005524054,0.0004252965,0.0001715971,0.001217901,0.0002391737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004644683,0.0001335653,0.001006658,0.0139502,0.0001440547,0.0001724016,0.000583328,0.0008425287,0.0001706686,0.02313694,0.02305798,0.9367553],"study_design_scores_gemma":[0.00002488283,0.0001989595,0.004076665,0.02730851,0.0001455154,0.001116559,0.002451729,0.0007488451,0.0002914534,0.03235783,0.9311965,0.00008263344],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001433719,0.9945844,0.0003212039,0.003537649,0.0002695389,0.000005713156,0.000007949002,0.000005767462,0.001124504],"genre_scores_gemma":[0.001850454,0.9963517,0.000559047,0.0005034519,0.0004207672,0.000009685889,0.000009789489,0.000002059699,0.0002929974],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00915509,"threshold_uncertainty_score":0.02168518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3104392989859657,"score_gpt":0.4741807053913976,"score_spread":0.1637414064054319,"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."}}