{"id":"W4377016477","doi":"10.37002/salve.ficha.30928","title":"Ficha de Erythrodiplax melanica","year":2023,"lang":"es","type":"dataset","venue":"Datasets - Sistema SALVE - ICMBio","topic":"Environmental and biological studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Eagle Ridge Hospital","funders":"","keywords":"Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.00115476,0.001440994,0.001479535,0.0001104738,0.001073006,0.0003007795,0.002694834,0.001073211,0.005795847],"category_scores_gemma":[0.0003733528,0.001119557,0.0005935107,0.0006162271,0.001951287,0.0002971896,0.006023507,0.001126966,0.180122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009175331,"about_ca_system_score_gemma":0.00003414683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0057311,"about_ca_topic_score_gemma":0.002530426,"domain_scores_codex":[0.9925324,0.0005331581,0.001312249,0.002436024,0.001262079,0.001924113],"domain_scores_gemma":[0.9955339,0.0006849462,0.0007054653,0.002367472,0.000008125349,0.0007000542],"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":[0.00008606701,0.0006669944,0.003920869,0.0004734419,0.0004048806,0.000458447,0.00002466425,0.00001474334,0.0009107328,0.00002315838,0.9919615,0.00105454],"study_design_scores_gemma":[0.0005368401,0.0005483929,0.07180214,0.0003104132,0.0005144528,0.00006832837,0.000172751,0.00001530021,0.0002036794,0.0001244231,0.9242867,0.001416578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003331964,0.001062976,0.000004194088,0.0009304503,0.0008379291,0.0009925229,0.9920604,0.0001903437,0.000589197],"genre_scores_gemma":[0.00193641,0.01116931,0.0001883934,0.001656767,0.0005328408,0.0002128609,0.9831748,0.000076683,0.001051928],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1743261,"threshold_uncertainty_score":0.999834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303800274103627,"score_gpt":0.2673160827093892,"score_spread":0.2442780799683529,"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."}}