{"id":"W6968997488","doi":"10.5281/zenodo.6189695","title":"Prognathorhynchus eurytuba Ax & Armonies 1987","year":2011,"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":"Proboscis; Morphology (biology); Taxon; Bristle; Genus","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":[0.00009334823,0.0003000282,0.0001198362,0.0005104092,0.0004192067,0.0001574902,0.0001898177,0.000194893,0.005401682],"category_scores_gemma":[0.000168663,0.0001619016,0.0000807415,0.0003184859,0.0002501491,0.0002837094,0.0004409159,0.0001916196,0.001571158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002800363,"about_ca_system_score_gemma":0.0001988268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01067087,"about_ca_topic_score_gemma":0.038777,"domain_scores_codex":[0.9999417,0.000004449836,0.00000558733,0.00002340699,0.00001484706,0.000009930273],"domain_scores_gemma":[0.9998879,0.00001436946,0.00004960734,0.00001252686,0.00001864637,0.00001701352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001209799,0.0001461334,0.4092109,0.0009845535,0.0001241381,0.002257555,0.002385675,0.0008532954,0.1993767,0.001512292,0.01813509,0.3638039],"study_design_scores_gemma":[0.00001713274,0.0001078875,0.9770833,0.00006476208,0.00002346543,0.001005687,0.0004906541,0.0001805194,0.001392578,0.0001651032,0.01945926,0.000009729736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608794,0.001330926,0.0017475,0.0001443857,0.00006315606,0.00009112522,0.003135848,0.0001493581,0.03245836],"genre_scores_gemma":[0.9779817,0.001058646,0.002234042,0.0001369176,0.00002984419,0.0001004758,0.002627169,0.00001536398,0.01581579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01067087,"threshold_uncertainty_score":0.02121753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03753277406961763,"score_gpt":0.2190344269956123,"score_spread":0.1815016529259946,"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."}}