{"id":"W6959124210","doi":"10.1021/acs.est.4c08675.s001","title":"Unveilingthe Impact of Wildfires on NanoparticleCharacteristics and Exposure Disparities through Mobile and Fixed-SiteMonitoring in Toronto, Canada","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Aerosol; Downtown; Particle (ecology); 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":[0.0004734672,0.0002179875,0.0002063892,0.00057947,0.001005714,0.0007640015,0.0003513572,0.0001979461,0.00152622],"category_scores_gemma":[0.001169599,0.0001071896,0.000237388,0.001265198,0.0003925749,0.0002954547,0.0004945886,0.0003137439,0.0001493024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007899503,"about_ca_system_score_gemma":0.007140453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9639483,"about_ca_topic_score_gemma":0.9855924,"domain_scores_codex":[0.9997259,0.00004572213,0.00001016268,0.0000477969,0.00008122304,0.00008920715],"domain_scores_gemma":[0.999284,0.00009462472,0.0001201347,0.00002951844,0.0003770215,0.00009478278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001692309,0.00003471084,0.952807,0.0001479755,0.0000977102,0.000244879,0.003793058,0.001064961,0.002264825,0.0007261791,0.006852134,0.03179736],"study_design_scores_gemma":[0.000005363307,0.00002618936,0.9799349,0.000057669,0.00005619504,0.00003805779,0.007706703,0.003717432,0.0006531967,0.0001604732,0.007625319,0.00001850467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865378,0.0007166527,0.001496304,0.0008397602,0.00002900008,0.00003532366,0.006186484,0.00001924449,0.004139387],"genre_scores_gemma":[0.9961659,0.0003263225,0.0007989708,0.0001125164,0.00001229629,0.00001255216,0.001286221,0.000006227508,0.001278928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03605169,"threshold_uncertainty_score":0.07252795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131340450910914,"score_gpt":0.2843390074307691,"score_spread":0.2712049623396777,"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."}}