{"id":"W7132214843","doi":"","title":"Investigation of Çanakkale Forest Fires by Canadian Forest Fire Weather Index","year":2017,"lang":"en","type":"article","venue":"Çanakkale Onsekiz Mart University AVESIS","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Fire control; Weather forecasting; Forest health; Air temperature","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":[0.0004057859,0.0002317878,0.0002178998,0.001198712,0.0008478775,0.0007090268,0.0004125011,0.000193366,0.001691948],"category_scores_gemma":[0.001089781,0.0001981052,0.0003721258,0.002004412,0.0001974582,0.0002600116,0.0004745398,0.0003913167,0.0002023363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005044215,"about_ca_system_score_gemma":0.005666538,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9276239,"about_ca_topic_score_gemma":0.9800088,"domain_scores_codex":[0.9994296,0.00003393066,0.00003336991,0.00008424374,0.0002307166,0.0001881144],"domain_scores_gemma":[0.9991684,0.00008806804,0.0001466579,0.00002709582,0.0004380834,0.0001318034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002262133,0.00005866735,0.985236,0.00003953937,0.0001349316,0.0001211461,0.0005502877,0.000384166,0.001432348,0.0001426937,0.001092095,0.010582],"study_design_scores_gemma":[0.000001626673,0.000005171508,0.9988191,0.000006083817,0.00001094418,0.00001838815,0.0003090524,0.0001269677,0.00007375624,0.00000418129,0.0006212705,0.000003393658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921582,0.0004719773,0.0001002109,0.00006518108,0.00001510329,0.00002418714,0.002669691,0.000005632511,0.004489846],"genre_scores_gemma":[0.9931328,0.0003455046,0.0003118071,0.00003288336,0.000005366976,0.00001880583,0.002372577,0.0000083839,0.003771939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07237607,"threshold_uncertainty_score":0.1456046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006497702747569066,"score_gpt":0.1614775715684205,"score_spread":0.1549798688208514,"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."}}