{"id":"W2129264976","doi":"10.1175/2008jamc1996.1","title":"Summer Moisture and Wildfire Risks across Canada","year":2008,"lang":"en","type":"article","venue":"Journal of Applied Meteorology and Climatology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Dryness; Environmental science; Precipitation; Climatology; Bay; Climate change; Physical geography; Geography; Meteorology; Geology; Oceanography","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":[0.0001961232,0.0001839632,0.0002067887,0.001134661,0.001424128,0.0009540693,0.000415934,0.0001658842,0.002842846],"category_scores_gemma":[0.0009018616,0.000126364,0.0002509843,0.00211064,0.0003730746,0.0002156293,0.0003892046,0.0003250337,0.0001364596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01044098,"about_ca_system_score_gemma":0.006743428,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9884136,"about_ca_topic_score_gemma":0.993656,"domain_scores_codex":[0.9997903,0.0000112348,0.000009679781,0.00003988714,0.00006533744,0.0000836535],"domain_scores_gemma":[0.9990729,0.00006292491,0.0001539396,0.00002835561,0.000406336,0.0002753773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007341908,0.00002099862,0.9900994,0.00001320322,0.00006861442,0.00007461525,0.0003423877,0.0005988307,0.0002378019,0.0002318052,0.001006454,0.007232579],"study_design_scores_gemma":[0.000001878898,0.000004188119,0.9986639,0.000006814546,0.000007618768,0.00001950603,0.0003498445,0.000267382,0.00003664696,0.00003048431,0.0006083171,0.000003338732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945022,0.0004082285,0.00005001576,0.0001078211,0.000004481479,0.000005147591,0.00260559,0.0000113152,0.002305211],"genre_scores_gemma":[0.9985185,0.0001356905,0.00003132845,0.00001279309,0.000001943667,0.000001439311,0.0007041754,0.000002560574,0.0005915706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01158637,"threshold_uncertainty_score":0.07575494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208115739526476,"score_gpt":0.2375477520414596,"score_spread":0.2254665946461948,"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."}}