{"id":"W6923480913","doi":"10.1371/journal.pone.0313200.t003","title":"Summary statistics, by fire size class.","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Education, Technology, and Ethics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Reduction (mathematics); Variation (astronomy); Risk assessment; Economic cost","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006379128,0.0002526227,0.000181519,0.00002229934,0.0001090962,0.00007540357,0.0006908061,0.0007028821,0.7196391],"category_scores_gemma":[0.001856048,0.0002488668,0.00004782643,0.0001791975,0.00007030732,0.00006992798,0.0005015979,0.001002765,0.186031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002116771,"about_ca_system_score_gemma":0.00007292457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002573689,"about_ca_topic_score_gemma":0.0006576208,"domain_scores_codex":[0.9986557,0.0000312139,0.0002067692,0.0004910707,0.0003144738,0.000300762],"domain_scores_gemma":[0.9987949,0.0003904477,0.00009874108,0.0006037558,0.00001300391,0.00009912823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[6.239419e-7,0.00003107306,0.000005586931,0.0002986957,0.00001113204,0.00001750755,0.00001660066,0.000001162626,9.292866e-7,7.416023e-7,0.998973,0.0006430097],"study_design_scores_gemma":[0.00003159844,0.00002277613,0.00005912247,0.0005522649,0.00002437667,0.000004164021,0.00002822016,0.00001062791,0.000008578868,0.0004269602,0.9985491,0.0002821797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[6.333387e-7,0.0009541328,7.588337e-8,0.0007350004,0.0004086439,0.000160162,0.9965605,0.0001118335,0.001069049],"genre_scores_gemma":[0.00000235342,0.0003100545,0.00008379208,0.0009386177,0.0001605356,0.0001452011,0.9928759,0.00002782403,0.00545569],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5336081,"threshold_uncertainty_score":0.9999964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02519773377214419,"score_gpt":0.2906926050560653,"score_spread":0.2654948712839211,"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."}}