{"id":"W6893560633","doi":"10.5281/zenodo.15753348","title":"Pseudopterogramma fijiensis Kuwahara, Marshall & Luk, 2025, sp. nov.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Holotype; Malaise; Etymology; Range (aeronautics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000112499,0.001162772,0.0003204715,0.001818519,0.001865888,0.0004821796,0.0007319197,0.0007839866,0.009003866],"category_scores_gemma":[0.0003590735,0.0003356535,0.0003947861,0.001795757,0.0006525105,0.001373243,0.0006399738,0.0008060356,0.004315985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007803767,"about_ca_system_score_gemma":0.0008218983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02398486,"about_ca_topic_score_gemma":0.05771384,"domain_scores_codex":[0.9998804,0.000008854118,0.00001905028,0.00003920864,0.00002646916,0.00002598645],"domain_scores_gemma":[0.9998497,0.00001645482,0.0000644883,0.00002303748,0.00002968725,0.00001663662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000869694,0.0002352602,0.06906753,0.002577044,0.0002465289,0.01255251,0.003330668,0.001161222,0.04124643,0.00232188,0.05355371,0.8128375],"study_design_scores_gemma":[0.0001170839,0.0002702803,0.6652309,0.001015664,0.0003200336,0.02188336,0.003023736,0.0009402853,0.002644221,0.0006174527,0.3038512,0.00008571926],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5317798,0.03549603,0.009622553,0.002151102,0.003139736,0.00257882,0.02431231,0.001611773,0.3893079],"genre_scores_gemma":[0.9033538,0.01794315,0.01722861,0.002039337,0.0004013414,0.001328305,0.01510997,0.0001287297,0.04246677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02398486,"threshold_uncertainty_score":0.04769051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02059123539449206,"score_gpt":0.2361943783900809,"score_spread":0.2156031429955889,"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."}}