{"id":"W2887667071","doi":"","title":"Exposure to fine particulate air pollution in Prince George, British Columbia, Canada","year":2004,"lang":"en","type":"article","venue":"26th Agricultural and Forest Meteorology/13th Air Pollution/5th Urban Environment/16th Biometeorology and Aerobiology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"George (robot); Particulates; Air pollution; Pollution; Environmental science; Geography; Environmental protection; History; Art history; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003399275,0.0004223277,0.0004225727,0.001458873,0.004538173,0.001054905,0.001300991,0.0008837096,0.003943689],"category_scores_gemma":[0.001328141,0.0004738338,0.0005075737,0.003226225,0.0005082471,0.000400316,0.0008795413,0.001326352,0.0006258362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02001962,"about_ca_system_score_gemma":0.02957859,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9985668,"about_ca_topic_score_gemma":0.9994501,"domain_scores_codex":[0.9993877,0.00005150454,0.00005593618,0.00008829764,0.0002039095,0.0002124851],"domain_scores_gemma":[0.9981321,0.00006898393,0.0001460209,0.00003385863,0.001171081,0.0004481049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001991436,0.000118662,0.9747088,0.0001008847,0.000128487,0.0005421246,0.00233652,0.0002561792,0.0005178693,0.0001554929,0.01009651,0.01083933],"study_design_scores_gemma":[0.00001328953,0.00002691319,0.9931228,0.00005936204,0.0000321604,0.0001076102,0.003395821,0.0001742127,0.00007120211,0.00002154754,0.002956972,0.00001821734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977815,0.001794979,0.0001462998,0.001670763,0.00009959011,0.0001272883,0.008503967,0.0000275759,0.009814579],"genre_scores_gemma":[0.974968,0.002050518,0.0002747133,0.0005421074,0.00002206993,0.00006629278,0.002400521,0.00001438053,0.01966139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02001962,"threshold_uncertainty_score":0.1452532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007715091768353931,"score_gpt":0.1994468793671741,"score_spread":0.1917317875988202,"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."}}