{"id":"W6931608490","doi":"10.5281/zenodo.6217772","title":"Sarcophaga (Heteronychia) gallica Whitmore, Richet, Pape & Blackith, 2009, sp. nov.","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Paratype; Dorsum; Cultivar","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":[0.000282047,0.001530798,0.000594082,0.001872876,0.001507823,0.0008479094,0.0007196146,0.0015557,0.00588444],"category_scores_gemma":[0.0006949175,0.0004451274,0.0004480539,0.001231359,0.0005623298,0.001612352,0.0007777691,0.0009816319,0.006550361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101077,"about_ca_system_score_gemma":0.0007691859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.029606,"about_ca_topic_score_gemma":0.05977258,"domain_scores_codex":[0.9996828,0.00002786017,0.000040829,0.0001284305,0.00008038813,0.00003965609],"domain_scores_gemma":[0.9995511,0.0000669138,0.0001583373,0.00005340015,0.000113372,0.0000568291],"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":[0.001292424,0.0003763085,0.08994541,0.004086622,0.0005628115,0.007646397,0.004298097,0.002447345,0.08975305,0.001311634,0.1104174,0.6878625],"study_design_scores_gemma":[0.0001760365,0.0004826192,0.5484778,0.002654568,0.0004915399,0.01348266,0.003503906,0.001380251,0.008448272,0.0005537526,0.4202518,0.00009678192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4528126,0.09156073,0.01693163,0.004841628,0.004464373,0.002764972,0.04096217,0.002172789,0.3834891],"genre_scores_gemma":[0.8339692,0.04287863,0.02237398,0.003954662,0.0008926092,0.0009655945,0.02073962,0.0002446694,0.07398111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.029606,"threshold_uncertainty_score":0.05886739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397789168954048,"score_gpt":0.2430645280134427,"score_spread":0.2290866363239022,"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."}}