{"id":"W4390367736","doi":"10.26418/pf.v11i2.64550","title":"Prediksi Luas Area Terbakar Menggunakan Fire Weather Index dan Frekuensi Titik Panas di Jambi","year":2023,"lang":"en","type":"article","venue":"PRISMA FISIKA","topic":"Forest Ecology and Conservation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Wind speed; Meteorology; Geography; Index (typography); Climatology; Physical geography; Geology","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":[0.0002114806,0.0001598247,0.0001669638,0.00001657949,0.0002873686,0.00005123014,0.0002626025,0.0002170738,0.0006924528],"category_scores_gemma":[0.00007906625,0.0000694762,0.0000857534,0.0004399966,0.00007961255,0.0001422855,0.000116663,0.0001742507,0.0004600832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002221052,"about_ca_system_score_gemma":0.00001093937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002463857,"about_ca_topic_score_gemma":0.001139849,"domain_scores_codex":[0.9988422,0.00007164669,0.0002108223,0.0003325229,0.0001808142,0.0003619276],"domain_scores_gemma":[0.999513,0.0001603653,0.00008090661,0.000103789,0.00005247972,0.00008941098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004402949,0.00009938626,0.8882038,0.00001134389,0.00004781788,0.00004550488,0.0003768837,0.00002009843,0.005564625,0.0007243199,0.03922101,0.06564119],"study_design_scores_gemma":[0.0001350196,0.0001371078,0.9112637,0.00001482028,0.00001130505,0.000004779781,0.0001836008,0.001642015,0.0003550424,0.001984224,0.08409511,0.0001732821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900739,0.00006440439,0.00000251502,0.005798552,0.0002502318,0.0002150666,0.00002550032,0.0002883735,0.00328141],"genre_scores_gemma":[0.9936991,0.00005271185,0.00001209723,0.000724536,0.0002288918,0.00007732357,0.0001924553,0.000002280052,0.005010586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0654679,"threshold_uncertainty_score":0.7581873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968858060438945,"score_gpt":0.2022169184319325,"score_spread":0.182528337827543,"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."}}