{"id":"W6968175329","doi":"10.5281/zenodo.15218463","title":"Empis (Enoplempis) turgida Sinclair, Brooks & Cumming, 2025, sp. nov.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cephalopods and Marine Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Holotype; Statistical analysis; Spring (device); Data series","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":[0.0003218164,0.001610182,0.0005361159,0.002212104,0.002133484,0.00065973,0.001063837,0.0009746663,0.01708692],"category_scores_gemma":[0.0007954271,0.0004065099,0.0002602683,0.001501267,0.0008388215,0.001782115,0.0008987003,0.00154672,0.01283115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510993,"about_ca_system_score_gemma":0.0008161659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03828089,"about_ca_topic_score_gemma":0.07530177,"domain_scores_codex":[0.9997761,0.00001790319,0.00002217088,0.00008870795,0.00006756105,0.00002762283],"domain_scores_gemma":[0.9996986,0.00003900435,0.00009448811,0.00003582675,0.00008848513,0.00004364936],"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":[0.0003288455,0.000145266,0.02247743,0.0008524387,0.0001248227,0.001748638,0.001426312,0.001107138,0.007370569,0.002553987,0.1353278,0.8265368],"study_design_scores_gemma":[0.0001668194,0.0002958153,0.2864682,0.00144481,0.0003061756,0.007001875,0.001976049,0.001204482,0.002539091,0.001170124,0.6973621,0.00006444121],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2194006,0.04548569,0.01718277,0.002562675,0.004433931,0.002927074,0.02795804,0.004112674,0.6759365],"genre_scores_gemma":[0.6731187,0.02767296,0.030013,0.004297323,0.001492041,0.003172003,0.0238671,0.0005056002,0.2358613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03828089,"threshold_uncertainty_score":0.07611614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02595847766653098,"score_gpt":0.2421265674423039,"score_spread":0.2161680897757729,"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."}}