{"id":"W2070938233","doi":"10.1080/15287390306446","title":"Spatial Analysis for Environmental Health Research: Concepts, Methods, and Examples","year":2003,"lang":"en","type":"article","venue":"Journal of Toxicology and Environmental Health","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université Laval; University of Ottawa; McMaster University","funders":"","keywords":"Computer science; Management science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0052647,0.0001464867,0.000841663,0.0004684126,0.0004208625,0.00002875793,0.0001208142,0.0001141464,0.0005454854],"category_scores_gemma":[0.0001049263,0.000145348,0.0001687889,0.0001469835,0.0003366836,0.0001457912,0.00005506031,0.0002953621,0.000008088941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002614428,"about_ca_system_score_gemma":0.00004377411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003411506,"about_ca_topic_score_gemma":0.0002177868,"domain_scores_codex":[0.9976989,0.0004814614,0.0009668414,0.0003430065,0.00007673517,0.0004330368],"domain_scores_gemma":[0.9982639,0.0004108015,0.0007918718,0.0001700989,0.000003878104,0.0003594776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003097063,0.0009938164,0.8378684,0.0001431344,0.002064172,0.00001185062,0.003448387,0.0001946198,0.0005723002,0.0153275,0.002242273,0.1368238],"study_design_scores_gemma":[0.003258906,0.005121954,0.655037,0.00002250856,0.0001994408,0.0001786208,0.004594103,0.002029921,0.0002945112,0.01564656,0.3131213,0.0004951819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7933751,0.06302315,0.1354297,0.005063914,0.0004529867,0.0006525062,0.001680667,0.000007506399,0.000314403],"genre_scores_gemma":[0.9675554,0.0136807,0.01730103,0.001095723,0.00008538295,0.000009114807,0.00007717578,0.00001330968,0.0001821679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.310879,"threshold_uncertainty_score":0.5972682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1817229627252174,"score_gpt":0.3887101245245961,"score_spread":0.2069871617993787,"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."}}