{"id":"W2130770268","doi":"","title":"Analyzing the effects of place on injury: Does the choice of geographic scale and zone matter?","year":2010,"lang":"en","type":"article","venue":"PubMed","topic":"Traffic and Road Safety","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Demography; Medicine; Confidence interval; Poisson regression; Population; Metropolitan area; Neighbourhood (mathematics); Odds ratio; Injury prevention; Incidence (geometry); Poison control; Geography; Environmental health","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":[0.01439944,0.0006104829,0.0008797189,0.001844517,0.0006973021,0.001987728,0.001414093,0.0009260874,0.002405215],"category_scores_gemma":[0.05385607,0.0003223941,0.002192754,0.003488122,0.00339596,0.001753535,0.00207184,0.001008606,0.0002936224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006091769,"about_ca_system_score_gemma":0.0009912287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01678788,"about_ca_topic_score_gemma":0.02523045,"domain_scores_codex":[0.9890967,0.007576857,0.0005414514,0.001104385,0.001273943,0.0004067112],"domain_scores_gemma":[0.9398197,0.04014101,0.01159723,0.003895093,0.002502494,0.002044466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002003501,0.0000223628,0.9918749,0.00008578624,0.0005292372,0.00005620036,0.0002063632,0.000299358,0.00007146536,0.0001474938,0.00009315569,0.006413302],"study_design_scores_gemma":[0.00002073102,0.0003362597,0.995508,0.0001645777,0.0004742083,0.0001745199,0.000934171,0.0009261944,0.0001031475,0.0009787644,0.0003577431,0.00002164523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878169,0.004323101,0.004491954,0.001348499,0.00007072033,0.00005477653,0.0003404337,0.00001805841,0.001535576],"genre_scores_gemma":[0.9981239,0.0006058307,0.0009252143,0.00009940333,0.00003511819,0.00001678022,0.00009854497,0.000008298946,0.00008690701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01678788,"threshold_uncertainty_score":0.07615244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00272037677055527,"score_gpt":0.1736710051166276,"score_spread":0.1709506283460723,"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."}}