{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005688197,0.0001673892,0.0007862821,0.0005368136,0.00008983512,0.00002716157,0.0001040401,0.000262055,0.0001427961],"category_scores_gemma":[0.0003199667,0.0001312439,0.00008513244,0.0000142812,0.0006029165,0.0002405876,0.0001165814,0.001241122,0.000001562733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003483834,"about_ca_system_score_gemma":0.0006385859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000019342,"about_ca_topic_score_gemma":0.000008185634,"domain_scores_codex":[0.9974345,0.0008976171,0.0006790141,0.0002279753,0.0004894144,0.000271468],"domain_scores_gemma":[0.9982882,0.0004686994,0.0004987622,0.00009629731,0.00006981869,0.0005782268],"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":[0.00009898052,0.0001557715,0.0001562929,0.001076526,0.0002120448,0.00003175074,0.0001107796,3.810376e-10,0.000003559136,0.001347849,0.0005920702,0.9962144],"study_design_scores_gemma":[0.0006365345,0.001726665,0.003966889,0.001849069,0.00005388726,0.001995041,0.0001257482,0.000001550797,9.475327e-8,0.001094681,0.9884703,0.0000795147],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002779725,0.9861895,0.00001901629,0.01008442,0.0002576614,0.0003399554,0.00006426474,0.000003005272,0.0002624559],"genre_scores_gemma":[0.006105328,0.9922757,0.0001084029,0.0003160691,0.0003768423,0.00001190409,0.00005967509,0.0000162247,0.0007298446],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9961349,"threshold_uncertainty_score":0.5392125,"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."}}