{"id":"W6930948137","doi":"10.5281/zenodo.15801434","title":"Parapterogramma simplex Kuwahara, Marshall & Luk, 2025, sp. nov.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Peck (Imperial); Holotype; Seta; San Joaquin; Cobble","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":[0.0001512749,0.001100528,0.0005134088,0.002731076,0.002806496,0.0008688304,0.0006627884,0.001079417,0.01124941],"category_scores_gemma":[0.0007102584,0.0004226479,0.0003261745,0.00189638,0.0008778534,0.002643359,0.0008395747,0.001008027,0.005171647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154265,"about_ca_system_score_gemma":0.0008559133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01663865,"about_ca_topic_score_gemma":0.029089,"domain_scores_codex":[0.999792,0.00001786204,0.0000408587,0.00006774174,0.00004714376,0.00003427956],"domain_scores_gemma":[0.9997507,0.00003908737,0.00009875547,0.000032037,0.00005058301,0.00002888564],"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":[0.001129248,0.00030566,0.05477383,0.002328635,0.0003080999,0.006801316,0.00405408,0.001349388,0.03222608,0.004186318,0.05252036,0.8400171],"study_design_scores_gemma":[0.0003920474,0.0004239386,0.4926025,0.002258615,0.0006109452,0.03534418,0.007705058,0.001683369,0.005738149,0.002635129,0.4504352,0.0001708948],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5708137,0.04807792,0.0124566,0.002092834,0.002806094,0.003198074,0.02267903,0.001749546,0.3361262],"genre_scores_gemma":[0.9260522,0.01791402,0.0126041,0.00140967,0.0003390864,0.001005262,0.006724988,0.0001296691,0.03382101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01663865,"threshold_uncertainty_score":0.03763306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07037509681330205,"score_gpt":0.2953660464999173,"score_spread":0.2249909496866153,"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."}}