{"id":"W7095873200","doi":"","title":"Accessory publication Spatial variation of trends in wildfire and summer drought in British Columbia,","year":2015,"lang":"en","type":"article","venue":"","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spatial variability; Ecosystem; Spatial analysis; Variation (astronomy); Geographic information system","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":[0.0003348665,0.0002303569,0.0002146615,0.002514864,0.001334538,0.0009931277,0.0006475257,0.0002745887,0.0266695],"category_scores_gemma":[0.002147961,0.0001876612,0.0001751831,0.004625718,0.0001886817,0.000375112,0.0004761856,0.0004036056,0.002640869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005284012,"about_ca_system_score_gemma":0.008615104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9819948,"about_ca_topic_score_gemma":0.9941498,"domain_scores_codex":[0.9997719,0.00001330987,0.00002572513,0.00005414307,0.00007655178,0.00005843904],"domain_scores_gemma":[0.9976398,0.0001687353,0.0001532933,0.00008978725,0.001501952,0.0004464519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002804756,0.00004735681,0.7072808,0.0002735659,0.0001328575,0.0002100914,0.0008647353,0.0004164045,0.0009391475,0.0002918121,0.2200986,0.06916415],"study_design_scores_gemma":[0.000006801228,0.000003776504,0.9883701,0.00003217248,0.00001820403,0.00003116546,0.0005346388,0.00009642053,0.00007609373,0.00001821105,0.01080589,0.000006582452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6060453,0.00343189,0.0003658583,0.002401187,0.0005958024,0.00008627631,0.3495374,0.0004498464,0.0370864],"genre_scores_gemma":[0.8016148,0.002997521,0.0007549107,0.0003092668,0.0001366735,0.00007998377,0.08098052,0.0001993882,0.1129269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0266695,"threshold_uncertainty_score":0.08921838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329173628219089,"score_gpt":0.2268100544713545,"score_spread":0.2135183181891636,"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."}}