{"id":"W2387869533","doi":"","title":"Characteristics of The Forest Fire Prevention and Control Management Features and its Enlightenment to China","year":2014,"lang":"en","type":"article","venue":"Ningxia Journal of Agriculture and Forestry Science and Technology","topic":"Evaluation Methods in Various Fields","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fire prevention; Firefighting; China; Enlightenment; Wildfire suppression; Control (management); Fire control; Forest management; Fire protection; Environmental resource management; Engineering; Architectural engineering; Forestry; Computer science; Environmental science; Political science; Civil engineering; Geography; Artificial intelligence","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":[0.0004924071,0.00017051,0.00007634096,0.0006359229,0.0008358601,0.0005616377,0.000229373,0.0001777616,0.001941747],"category_scores_gemma":[0.0005724549,0.00007478466,0.0001402317,0.0006758532,0.0001885413,0.0004142764,0.0002257144,0.0002133098,0.0001722485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611054,"about_ca_system_score_gemma":0.001896997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03471363,"about_ca_topic_score_gemma":0.05046195,"domain_scores_codex":[0.9997255,0.00003226191,0.00001523959,0.00003012727,0.0001027635,0.00009414139],"domain_scores_gemma":[0.9995641,0.00003436014,0.00006492982,0.00001538662,0.0001875109,0.0001336228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000272839,0.0004704219,0.6575053,0.0002162944,0.00002729204,0.001293484,0.00661377,0.004922364,0.01808394,0.006363661,0.01070933,0.2935213],"study_design_scores_gemma":[0.00001507807,0.0002844621,0.9579651,0.00003790384,0.00002359391,0.0003691859,0.003759069,0.004747069,0.002144721,0.0004969174,0.03012708,0.00002988791],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755327,0.0001905977,0.001138022,0.0006223659,0.00002344714,0.00008061712,0.0001122833,0.0000255267,0.02227454],"genre_scores_gemma":[0.9863126,0.0003567259,0.0009012036,0.000087673,0.0000193936,0.0000320507,0.0001889132,0.000006638983,0.0120949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03471363,"threshold_uncertainty_score":0.06902313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004267640878676506,"score_gpt":0.2355042359268705,"score_spread":0.231236595048194,"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."}}