{"id":"W2904475727","doi":"10.3390/fire1030050","title":"Extensible Database of Validated Biomass Smoke Events for Health Research","year":2018,"lang":"en","type":"article","venue":"Fire","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control","funders":"","keywords":"Database; Smoke; Environmental science; Biomass (ecology); Vegetation (pathology); Pollution; Computer science; Protocol (science); Meteorology; Geography; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.006202383,0.001316254,0.001726603,0.006860759,0.0006736552,0.003502403,0.003299036,0.001593339,0.03770982],"category_scores_gemma":[0.02766721,0.0009030049,0.001613288,0.006397359,0.000328345,0.003003949,0.003412451,0.001537678,0.02443133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084256,"about_ca_system_score_gemma":0.002873064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005778874,"about_ca_topic_score_gemma":0.00660993,"domain_scores_codex":[0.9958484,0.0007477315,0.001610546,0.000822594,0.0008015376,0.0001690311],"domain_scores_gemma":[0.9796255,0.007596148,0.002248755,0.005644636,0.003608065,0.001276863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002752545,0.0004939617,0.03629688,0.006933495,0.0007558386,0.001086277,0.0008575786,0.006146387,0.004294302,0.009781418,0.7560983,0.1745031],"study_design_scores_gemma":[0.0006520368,0.0002311628,0.04488254,0.001525881,0.0003677551,0.001009432,0.000521297,0.006405987,0.005458795,0.01551434,0.9231426,0.0002881495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003925572,0.0006684576,0.01863718,0.0004328279,0.0002215389,0.0006197192,0.9583917,0.01267923,0.004423914],"genre_scores_gemma":[0.01215732,0.0005503431,0.02393542,0.0003950959,0.0000951946,0.001436906,0.9585463,0.001160809,0.001722579],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03770982,"threshold_uncertainty_score":0.1261519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1636226581273661,"score_gpt":0.3994377020537391,"score_spread":0.235815043926373,"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."}}