{"id":"W6949314032","doi":"10.5281/zenodo.14597233","title":"Nepolynema shatenka Triapitsyn 2014","year":2024,"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":"Natural Resources Canada","funders":"","keywords":"Holotype; Identification (biology); Term (time)","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":[0.0001093497,0.0003191902,0.0003304468,0.00106075,0.001271227,0.0003876159,0.0004368005,0.0002996843,0.01361309],"category_scores_gemma":[0.0002105287,0.0002099195,0.0001883011,0.0008768059,0.00071017,0.0006282784,0.001153675,0.0005161988,0.003294053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005989515,"about_ca_system_score_gemma":0.001086748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02378584,"about_ca_topic_score_gemma":0.05912799,"domain_scores_codex":[0.9998672,0.00000942642,0.00001703018,0.00004302085,0.00003532877,0.00002805372],"domain_scores_gemma":[0.9999014,0.00000675584,0.00003463438,0.00001198321,0.00003001964,0.0000150634],"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":[0.000867578,0.0001809362,0.1292196,0.001661463,0.0002835325,0.004328583,0.007725448,0.001781297,0.04777703,0.01385477,0.0515649,0.7407549],"study_design_scores_gemma":[0.00006739085,0.0001720362,0.5867782,0.0004171303,0.0001614318,0.005234202,0.00340218,0.0005014852,0.002374846,0.001972434,0.3988837,0.00003498873],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5570003,0.008823755,0.005019827,0.0007640154,0.0006504346,0.0005649255,0.007878749,0.0006396227,0.4186583],"genre_scores_gemma":[0.9470315,0.003839175,0.002579214,0.0003376602,0.0000777417,0.0001657251,0.003453823,0.0001313036,0.04238385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02378584,"threshold_uncertainty_score":0.04729474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972561691406115,"score_gpt":0.2346427460018235,"score_spread":0.2149171290877623,"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."}}