{"id":"W3035360817","doi":"","title":"Soil moisture dynamics and forest fire risk in the Upper North Saskatchewan Watershed, Alberta","year":2010,"lang":"en","type":"article","venue":"AGUFM","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Watershed; Hydrology (agriculture); Environmental science; Geology; Forestry; Physical geography; Geography; Geotechnical engineering","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":[0.0003811275,0.0002512404,0.0002630787,0.0009857734,0.001688583,0.001159351,0.0009377782,0.0004144925,0.001504842],"category_scores_gemma":[0.0009119735,0.0002457699,0.0002555567,0.001824588,0.000789146,0.0003465581,0.0005991919,0.0004406048,0.000182847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01708795,"about_ca_system_score_gemma":0.01243205,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.989174,"about_ca_topic_score_gemma":0.9971629,"domain_scores_codex":[0.9997423,0.00004087507,0.00001518139,0.00003776034,0.00006390592,0.00009997059],"domain_scores_gemma":[0.9993118,0.000122498,0.00009901723,0.0000264042,0.0002498187,0.0001904333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001969805,0.00009494177,0.988876,0.0000128266,0.00007621557,0.0002775345,0.0006865429,0.001383061,0.0006608387,0.0001972264,0.0009737867,0.006563946],"study_design_scores_gemma":[0.00001038983,0.0000102226,0.9958418,0.00001166614,0.00002082971,0.0000437032,0.002055476,0.001415012,0.00009304794,0.00006846087,0.000421367,0.000008021429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983677,0.00008837778,0.00004056812,0.0001153664,0.000003235232,0.000007129355,0.0003554938,0.00000435365,0.001017794],"genre_scores_gemma":[0.9976897,0.0001498118,0.00008301277,0.00004391247,0.000002531098,0.000006332777,0.0003341091,0.000002950206,0.001687621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01708795,"threshold_uncertainty_score":0.1239823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002133554731530177,"score_gpt":0.1711105740563285,"score_spread":0.1689770193247984,"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."}}