{"id":"W6894110875","doi":"10.5281/zenodo.7661980","title":"Aristobatina melasma Marshall 2014, sp. n.","year":2014,"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":"University of Guelph","funders":"","keywords":"Seta; Pedicel; Femur; Holotype; Paratype","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":[0.0001024864,0.0004793479,0.0003565776,0.001417886,0.001753287,0.0003828295,0.0005603181,0.0004259747,0.01205768],"category_scores_gemma":[0.0002731885,0.0001731288,0.0001941722,0.0008663281,0.0004686679,0.0007095351,0.0007060579,0.0003731878,0.003965868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006732387,"about_ca_system_score_gemma":0.0004676429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01626682,"about_ca_topic_score_gemma":0.05152492,"domain_scores_codex":[0.9999239,0.000008423675,0.000007649835,0.0000290605,0.00001973557,0.00001113996],"domain_scores_gemma":[0.9998983,0.00001282556,0.00002798597,0.00001061767,0.00003260733,0.00001754885],"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":[0.001258053,0.0002027856,0.04738974,0.002009528,0.0002824363,0.003251567,0.00288577,0.001104838,0.0917785,0.009645272,0.0231193,0.8170723],"study_design_scores_gemma":[0.0002077708,0.0003717703,0.4643233,0.0005639938,0.0005007111,0.006056633,0.002559314,0.001215593,0.006552767,0.005073258,0.5124907,0.00008425305],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.455926,0.01459686,0.01218871,0.0009383651,0.0007341195,0.0007376369,0.005247474,0.001001082,0.5086299],"genre_scores_gemma":[0.9431639,0.003195627,0.005575338,0.0004544248,0.000196388,0.0001484311,0.002345786,0.00007241342,0.0448477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01626682,"threshold_uncertainty_score":0.04033691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433683625680487,"score_gpt":0.2117985957780796,"score_spread":0.1974617595212748,"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."}}