{"id":"W6961234648","doi":"10.1371/journal.pone.0248617.g001","title":"2017 North Bay Fires Burn Area (Tubbs, Atlas &amp; Nuns).","year":2021,"lang":"ceb","type":"other","venue":"Figshare","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bay; Atlas (anatomy); Shore; Feature (linguistics)","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":["insufficient_payload"],"category_scores_codex":[0.0004459067,0.0005860994,0.0002671365,0.0007644766,0.001386038,0.001253372,0.0008395855,0.000518123,0.6499101],"category_scores_gemma":[0.0007507818,0.0002920086,0.0002093411,0.0007540096,0.0005198888,0.0005637632,0.001345741,0.001183943,0.3925194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001272142,"about_ca_system_score_gemma":0.001466405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02603908,"about_ca_topic_score_gemma":0.101716,"domain_scores_codex":[0.9998,0.00001512198,0.000007411994,0.00005632832,0.00008800605,0.00003314088],"domain_scores_gemma":[0.9991513,0.00006442189,0.00005494176,0.0001033723,0.0002531735,0.0003727112],"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":[0.0001353404,0.00007750859,0.003738357,0.00006929092,0.000006212611,0.0001019061,0.00006599011,0.0001090721,0.0007585741,0.001846631,0.8806074,0.1124837],"study_design_scores_gemma":[0.00001598166,0.00001848094,0.01392178,0.00008489549,0.000002879415,0.00007050391,0.0002109522,0.0002819481,0.000435179,0.0006463021,0.9843046,0.000006436216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.01031485,0.000533247,0.001802213,0.002381234,0.00206933,0.0001896335,0.06628475,0.003067086,0.9133577],"genre_scores_gemma":[0.01730026,0.0005234211,0.002367384,0.0004251259,0.0001348938,0.0001342481,0.03834664,0.001580465,0.9391875],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.3500899,"threshold_uncertainty_score":0.4993607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04013451871272265,"score_gpt":0.2544149313807915,"score_spread":0.2142804126680688,"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."}}