{"id":"W7099086419","doi":"","title":"ANALYSIS OF CURRENT AND PROJECTED AIR QUALITY LEVELS IN CANADA WITH AURAMS","year":2015,"lang":"en","type":"article","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Current (fluid); Air quality index; Air pollution; Quality (philosophy); Climate change","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":[0.0002039029,0.0002362939,0.0001586311,0.0008124444,0.0006614411,0.0008787442,0.0004517374,0.0003201865,0.001387534],"category_scores_gemma":[0.000573313,0.0001271113,0.0005301413,0.001706718,0.0002486733,0.0002221207,0.0002884585,0.0003120278,0.0001855607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01276669,"about_ca_system_score_gemma":0.008216809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9859753,"about_ca_topic_score_gemma":0.9905698,"domain_scores_codex":[0.9997812,0.00001485013,0.00001184475,0.0000303352,0.0001022546,0.00005962778],"domain_scores_gemma":[0.9994388,0.00002977018,0.00003470738,0.00001055588,0.0004267035,0.00005956957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004029917,0.0000858931,0.9441758,0.0000883432,0.0001772054,0.000290248,0.0003445106,0.03046179,0.002321519,0.001584304,0.005283047,0.01478423],"study_design_scores_gemma":[0.00001179453,0.00002980117,0.9734606,0.0000166922,0.00003231991,0.00004513673,0.0008471201,0.0201151,0.000580968,0.00009720021,0.004745093,0.00001812998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807773,0.0001834653,0.0005218994,0.0003643282,0.00001451705,0.00002498463,0.01296693,0.00008252704,0.005064094],"genre_scores_gemma":[0.9920183,0.0001337039,0.0005875128,0.00003632139,0.000003815453,0.000008547323,0.005426508,0.000006473713,0.001778816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01402467,"threshold_uncertainty_score":0.09262925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07839730274828309,"score_gpt":0.2899405017694798,"score_spread":0.2115431990211967,"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."}}