{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008171299,0.00007977114,0.0001385411,0.00005647244,0.0001994075,0.00003115152,0.0001891968,0.00008942634,0.000005529692],"category_scores_gemma":[0.0002033836,0.0000421366,0.0000134658,0.0002879972,0.0003619166,0.0001329159,0.0002064655,0.0001645015,2.608481e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001652997,"about_ca_system_score_gemma":0.000007616363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004271324,"about_ca_topic_score_gemma":0.00001016009,"domain_scores_codex":[0.9992164,0.00003169177,0.000185032,0.0001513903,0.0002924808,0.0001230384],"domain_scores_gemma":[0.9995697,0.0000274644,0.0002093942,0.0000831721,0.00004506715,0.00006524103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000360624,0.00006903126,0.6619902,0.00005825332,0.00003410928,0.00000614323,0.00087546,0.00004868534,0.04422013,0.01587761,0.0008462599,0.2759381],"study_design_scores_gemma":[0.0002772584,0.0003674591,0.9894791,0.00006104779,0.00004326517,0.0002523343,0.0001479656,0.0002710634,0.002231346,0.005888116,0.000917649,0.00006336848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958053,0.0002728008,0.000656459,0.002725305,0.00006773604,0.0001618402,9.727454e-7,0.000003912716,0.0003056665],"genre_scores_gemma":[0.9959704,0.0002531768,0.003520516,0.0001161386,0.00001900784,0.000002843617,1.043747e-7,0.00000169212,0.000116177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.327489,"threshold_uncertainty_score":0.1718281,"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."}}