{"id":"W4402721765","doi":"10.23977/acss.2024.080602","title":"Application of Forewarning Based on CFL","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001395013,0.00008253608,0.0001628846,0.0001304599,0.00001095857,0.00003175619,0.00007278179,0.00004630471,5.147181e-7],"category_scores_gemma":[0.00000191617,0.0000682887,0.00002037191,0.0001449457,0.00001538191,0.0001039025,0.00001152109,0.00006929634,0.000002432182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000015345,"about_ca_system_score_gemma":0.000003185126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001155757,"about_ca_topic_score_gemma":0.000003312075,"domain_scores_codex":[0.9994745,0.00001208928,0.0002077165,0.0001320362,0.0000779878,0.0000956541],"domain_scores_gemma":[0.9997276,0.0001096997,0.00002103872,0.0001186783,0.000009575438,0.00001341267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001788656,0.000006820055,0.001324597,0.001175123,0.000009861387,0.000006359912,0.0001088402,0.7956718,0.0005432307,0.005226503,0.00008575596,0.1958393],"study_design_scores_gemma":[0.00006531616,0.00004848085,0.0001107922,0.0005969848,0.00000148625,0.000002818777,0.00001651185,0.9777413,0.0003813876,0.0002426675,0.0207186,0.00007363816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01377367,0.03071152,0.9534479,0.00001127658,0.0007955451,0.0001678545,0.000004551377,0.0002999235,0.0007877561],"genre_scores_gemma":[0.9989115,0.0001732206,0.0007839872,0.000004520989,0.00006655033,0.00004392291,0.000001643759,0.00001053742,0.000004134051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9851378,"threshold_uncertainty_score":0.2784732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007045565961982362,"score_gpt":0.2289613426765576,"score_spread":0.2219157767145753,"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."}}