{"id":"W6968005009","doi":"10.5281/zenodo.14808917","title":"Rhytomus larseni Saxton & Genier 2025, new species","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Dorsum; Paratype; Enhanced Data Rates for GSM Evolution; Margin (machine learning)","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":[0.0001687292,0.0007187483,0.0002374274,0.001397058,0.001216596,0.0003678426,0.0005108823,0.0005504178,0.01356838],"category_scores_gemma":[0.0002817621,0.0003211223,0.0001842817,0.000701946,0.0008234869,0.001266729,0.0008662877,0.0005963674,0.003562064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004332381,"about_ca_system_score_gemma":0.0005272359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01097071,"about_ca_topic_score_gemma":0.0349979,"domain_scores_codex":[0.9998946,0.00001057925,0.00001130305,0.00003580065,0.00003073877,0.00001696124],"domain_scores_gemma":[0.999912,0.00001293937,0.00004213985,0.00000940783,0.00001162935,0.00001179587],"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":[0.0004837996,0.0001384518,0.03746912,0.001355591,0.0001050018,0.003281103,0.004489955,0.000729325,0.007920698,0.00714574,0.08871374,0.8481675],"study_design_scores_gemma":[0.0001076124,0.0004526839,0.2928871,0.002655133,0.0002554063,0.01427041,0.004163205,0.0006436366,0.001909401,0.003137777,0.6794322,0.00008551955],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.394128,0.03851035,0.006271413,0.002903368,0.001908996,0.0008318108,0.005718061,0.001302714,0.5484253],"genre_scores_gemma":[0.8736318,0.01894813,0.0132164,0.002333496,0.0005853503,0.0003547972,0.003514846,0.0001046316,0.08731057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01356838,"threshold_uncertainty_score":0.04539073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02229421571944909,"score_gpt":0.2355225463199099,"score_spread":0.2132283306004608,"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."}}