{"id":"W6958333700","doi":"10.6084/m9.figshare.24198738","title":"fig10","year":2023,"lang":"en","type":"preprint","venue":"Figshare","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"AERONET; Population; Statistical analysis; Scale (ratio)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001971745,0.0004191973,0.000185171,0.0008187531,0.0003909822,0.0009823013,0.0004455785,0.0005576204,0.1778122],"category_scores_gemma":[0.0004283121,0.0001387369,0.0005028136,0.0008816969,0.0001446031,0.0004701918,0.000312634,0.0003862911,0.03908402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007603434,"about_ca_system_score_gemma":0.0003982506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04347999,"about_ca_topic_score_gemma":0.05715259,"domain_scores_codex":[0.9998952,0.00001264701,0.000003889969,0.00003898483,0.00002615895,0.00002309728],"domain_scores_gemma":[0.9996996,0.00004993877,0.00002231918,0.00004013302,0.0001584593,0.0000295783],"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":[0.0005208899,0.0001841008,0.04552942,0.0004364514,0.0001785122,0.0002313572,0.0001840706,0.03041393,0.00665368,0.006311283,0.83491,0.07444633],"study_design_scores_gemma":[0.0003249152,0.0000998158,0.3078816,0.0002417973,0.00007192624,0.0002527133,0.000744081,0.04060311,0.004655547,0.002950844,0.6420944,0.00007916815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.1282899,0.0007078481,0.008312068,0.002462903,0.003459787,0.0001981776,0.4444515,0.01350096,0.3986168],"genre_scores_gemma":[0.5784063,0.0003842732,0.009821317,0.001130762,0.0002488604,0.0001060343,0.2615884,0.003170862,0.1451432],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8221878,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0467274803678951,"score_gpt":0.2535344607488393,"score_spread":0.2068069803809442,"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."}}