{"id":"W7023664305","doi":"","title":"OLS and GWR LUR models of wildfire smoke using remote sensing and spatiotemporal data in Alberta","year":2019,"lang":"en","type":"article","venue":"Florence Research (University of Florence)","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smoke; Reflectivity; Thematic Mapper; Satellite imagery; Satellite; Atmospheric correction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001667112,0.0001362647,0.0003304597,0.0002245165,0.0001337258,0.00002410818,0.0006681989,0.0001177884,0.0001317491],"category_scores_gemma":[0.0001382533,0.0001554073,0.0000239209,0.0006414523,0.0008330355,0.00117241,0.001584656,0.0002962969,0.00002099164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001355047,"about_ca_system_score_gemma":0.00008355655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2599736,"about_ca_topic_score_gemma":0.02197643,"domain_scores_codex":[0.997745,0.0002923216,0.0001904971,0.0006224911,0.0007293157,0.0004204001],"domain_scores_gemma":[0.9985856,0.0003360347,0.0001251595,0.0007682435,0.00003258676,0.0001524137],"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":[0.0003431954,0.0001150697,0.6862975,0.0007106559,0.00005985963,0.0001327124,0.01183832,0.002450198,0.03744529,0.00013993,0.0003707841,0.2600964],"study_design_scores_gemma":[0.000455578,0.0001154386,0.1177016,0.0003594851,0.000006649878,0.00001080083,0.001083017,0.8792946,0.0002370804,0.0005195725,0.00006473661,0.0001513978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965169,0.00005873501,0.001360551,0.0002141698,0.00005311393,0.0004585826,0.00002608651,0.000007479873,0.001304328],"genre_scores_gemma":[0.9929666,0.0001088021,0.006753551,0.000003980123,0.00001048151,2.590967e-8,0.00001535857,0.000009476792,0.0001317584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8768444,"threshold_uncertainty_score":0.9958699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07563372092075497,"score_gpt":0.2900574783501496,"score_spread":0.2144237574293946,"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."}}