{"id":"W7056785283","doi":"","title":"Ft.McKay community exposure study, assessment of particulate matter, PMÂ¦1Â¦0, levels","year":2001,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Pulsed Power Technology Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Particulates; Exposure assessment; Air pollution; Risk assessment; Air pollutants","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009187593,0.000418832,0.0003525742,0.001894142,0.002166088,0.0007171565,0.001191594,0.0008681526,0.01623664],"category_scores_gemma":[0.002168925,0.0005254861,0.0003831119,0.001352071,0.0001665416,0.000398838,0.0006771288,0.0006680991,0.003897193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003952763,"about_ca_system_score_gemma":0.007496458,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8175395,"about_ca_topic_score_gemma":0.9070629,"domain_scores_codex":[0.9995702,0.00004782187,0.00003858319,0.00005859046,0.0002183037,0.00006650049],"domain_scores_gemma":[0.9987642,0.0001099758,0.0001219806,0.00007436452,0.0006855563,0.0002439677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003682172,0.0009646391,0.4280224,0.0006344667,0.0001290798,0.0004169352,0.0007191116,0.0002866825,0.001321113,0.0009119546,0.4573248,0.1055867],"study_design_scores_gemma":[0.0002083502,0.0002468714,0.9588934,0.0001771783,0.00006463037,0.00007155102,0.0003202642,0.0001414993,0.000486213,0.00008570743,0.03928729,0.00001694794],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2628163,0.007901112,0.001140515,0.004955194,0.000606026,0.003217023,0.5097539,0.0002759311,0.2093339],"genre_scores_gemma":[0.4651415,0.006285212,0.004021565,0.001420593,0.0002184296,0.002992273,0.06371728,0.0001158739,0.4560872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1824605,"threshold_uncertainty_score":0.36707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005185243691363514,"score_gpt":0.1763026899228166,"score_spread":0.171117446231453,"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."}}