{"id":"W3196595279","doi":"","title":"Waldbrände in Alberta/Kanada – eine Sachanalyse ökologischer, ökonomischer und sozialer Folgen","year":2019,"lang":"de","type":"article","venue":"OPUS (Augsburg University)","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Forestry; Geography","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":[0.000216626,0.0001570467,0.0001064834,0.0006032395,0.001672626,0.001111106,0.000340812,0.0002451686,0.003190203],"category_scores_gemma":[0.0001670008,0.0001165138,0.0001096018,0.0008560903,0.0009251434,0.0002339189,0.0006225559,0.0004477683,0.0004410633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005463971,"about_ca_system_score_gemma":0.006687005,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8273844,"about_ca_topic_score_gemma":0.9677243,"domain_scores_codex":[0.9998243,0.00001041207,0.000003559837,0.00003610815,0.00006551281,0.00006006544],"domain_scores_gemma":[0.999861,0.000008316069,0.00002047472,0.00000524061,0.00005361718,0.0000513091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001302647,0.0003659715,0.5863038,0.0005456725,0.0001040287,0.008210708,0.02500928,0.002580676,0.06820213,0.011866,0.0215007,0.2740085],"study_design_scores_gemma":[0.0000148794,0.0001308942,0.8810986,0.00007723754,0.00003003736,0.000437729,0.02095759,0.000328561,0.002064951,0.000730465,0.09409327,0.0000357315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702048,0.001313556,0.0005100276,0.0005979951,0.00006232529,0.00003603752,0.0007713124,0.00005210012,0.02645174],"genre_scores_gemma":[0.9672715,0.0007069528,0.001003859,0.0001434282,0.000008696131,0.00001144493,0.0006774729,0.0000151089,0.03016159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1726156,"threshold_uncertainty_score":0.3472643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006657167863341708,"score_gpt":0.1836828892817304,"score_spread":0.1770257214183887,"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."}}