{"id":"W6931343020","doi":"10.5281/zenodo.5325787","title":"Theognete schaubeli Anderson 2010, new species","year":2010,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aedeagus; Holotype; Dorsum; Litter; Plant litter","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":[],"consensus_categories":[],"category_scores_codex":[0.0002204503,0.001139677,0.0005277563,0.002385072,0.003093625,0.001300002,0.001087622,0.001301702,0.05292118],"category_scores_gemma":[0.0007579734,0.0003871938,0.0003277011,0.001830842,0.001421044,0.00249309,0.00162575,0.00177697,0.02801766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002206085,"about_ca_system_score_gemma":0.001271322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02876191,"about_ca_topic_score_gemma":0.0552204,"domain_scores_codex":[0.9996287,0.0000425961,0.00003179599,0.000119239,0.0001055838,0.00007212919],"domain_scores_gemma":[0.9997033,0.00003997323,0.00009319199,0.00004416122,0.00008657892,0.00003272916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002422187,0.0000697518,0.006421163,0.0005820058,0.0000525916,0.001336006,0.00101385,0.0008744677,0.004403342,0.01511062,0.3477969,0.6220971],"study_design_scores_gemma":[0.00001570891,0.00003591565,0.01222604,0.0003029926,0.00002408388,0.002103213,0.0002760495,0.0002679748,0.0004135694,0.001011644,0.9833016,0.00002115922],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02595027,0.03181572,0.005603313,0.00324431,0.003322455,0.0004426487,0.006222499,0.001204974,0.9221938],"genre_scores_gemma":[0.4488372,0.03126862,0.01712364,0.004838935,0.002910974,0.0009246875,0.01055072,0.0004595346,0.4830858],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05292118,"threshold_uncertainty_score":0.177039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0423276114352732,"score_gpt":0.2500941978408701,"score_spread":0.2077665864055969,"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."}}