{"id":"W6893934800","doi":"10.5281/zenodo.6162302","title":"Agyneta watertoni Dupérré, 2013, new species","year":2013,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fish Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Aedeagus; Dorsum; Telson; Keel; Tarsus (eyelids); Claw","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":[0.0001137413,0.0005731286,0.0002873764,0.001560398,0.001724756,0.000539421,0.000821421,0.0004374856,0.01355563],"category_scores_gemma":[0.0002390246,0.0002757722,0.0001068436,0.001351429,0.0006305228,0.001458646,0.0006322947,0.000619142,0.002223847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009868197,"about_ca_system_score_gemma":0.0007108004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06280452,"about_ca_topic_score_gemma":0.2418073,"domain_scores_codex":[0.9998869,0.000005096059,0.000005658399,0.00004716288,0.0000375093,0.00001769435],"domain_scores_gemma":[0.9999052,0.00001380883,0.00002228198,0.000008661494,0.00003821583,0.00001174023],"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":[0.0002330991,0.0000906261,0.03322767,0.0006320261,0.00004172605,0.002047224,0.003862264,0.0002782295,0.008975759,0.002787821,0.05277966,0.8950438],"study_design_scores_gemma":[0.00005088753,0.000115395,0.2506734,0.0005720152,0.0001008002,0.004108324,0.002795456,0.0005273731,0.000985932,0.001410846,0.7386273,0.00003237019],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.392543,0.02675481,0.01256412,0.001733841,0.001085361,0.001398256,0.0119789,0.001357091,0.5505846],"genre_scores_gemma":[0.8656303,0.009801194,0.01449004,0.0009944949,0.0003736579,0.0006483539,0.00746217,0.00009024371,0.1005096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06280452,"threshold_uncertainty_score":0.1248779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03874433130898249,"score_gpt":0.1983461195643249,"score_spread":0.1596017882553424,"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."}}