{"id":"W6992778998","doi":"","title":"A Methodological Comparison of Utilizing Different Mobile Monitoring Techniques to Predict the Spatial Variation of Ambient Air Pollution in Southern Ontario, Canada","year":2021,"lang":"","type":"dissertation","venue":"TSpace","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto Mississauga; University of Toronto","keywords":"Air pollution; Sampling (signal processing); Pollution; Point (geometry); Air quality index; Spatial variability","routes":{"ca_aff":false,"ca_fund":true,"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":[0.003115876,0.0004904399,0.0003525384,0.0007298778,0.001513256,0.001312386,0.001494754,0.0004094201,0.001145727],"category_scores_gemma":[0.01001444,0.0003410776,0.0006402011,0.001462148,0.0006226927,0.000373565,0.0008534035,0.0003402999,0.0001499019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02122739,"about_ca_system_score_gemma":0.03132933,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9839764,"about_ca_topic_score_gemma":0.9886066,"domain_scores_codex":[0.9985778,0.00050751,0.0001053152,0.0003431333,0.0003520142,0.000114176],"domain_scores_gemma":[0.9960976,0.001397712,0.0003487301,0.0002096339,0.001813611,0.00013268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001004362,0.0004229545,0.681045,0.0007562248,0.0009282902,0.0002995415,0.009978675,0.1551589,0.007181478,0.004130667,0.001983192,0.1371108],"study_design_scores_gemma":[0.0002596324,0.001071075,0.7469615,0.000383087,0.0008201752,0.0001036415,0.01889168,0.2070291,0.009853564,0.001369811,0.01307181,0.0001850248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817567,0.0003593346,0.01194953,0.0002044982,0.00001256652,0.0004163738,0.001335481,0.00005292372,0.003912606],"genre_scores_gemma":[0.9766446,0.0004073538,0.01843606,0.00005155829,0.000004582688,0.000424274,0.001010002,0.00002520269,0.002996393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02122739,"threshold_uncertainty_score":0.1540162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.126498478346071,"score_gpt":0.4104532863693666,"score_spread":0.2839548080232956,"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."}}