{"id":"W6930924007","doi":"10.5281/zenodo.15218566","title":"Empis (Enoplempis) richardvockerothi 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; Debris; Seta; Subgenus; Joist","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":[0.0004062504,0.001712571,0.0008502346,0.002657641,0.003453827,0.0009879373,0.001570831,0.001536033,0.02368032],"category_scores_gemma":[0.001276853,0.0006618312,0.0003448899,0.002155048,0.001390159,0.002663198,0.001654924,0.002675856,0.01651142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001736784,"about_ca_system_score_gemma":0.00135743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04061262,"about_ca_topic_score_gemma":0.06686684,"domain_scores_codex":[0.9995642,0.00003502841,0.00003675774,0.0001405051,0.0001737735,0.00004977336],"domain_scores_gemma":[0.9995534,0.00007310997,0.0001425698,0.00005916478,0.0001174026,0.00005448779],"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":[0.0003530743,0.0001305708,0.008918631,0.000898741,0.0001304777,0.002647375,0.001870786,0.001127365,0.008178688,0.004321468,0.1215859,0.8498369],"study_design_scores_gemma":[0.0002003266,0.0002614464,0.1479587,0.00221961,0.0003964667,0.01008508,0.002583328,0.001092939,0.003793811,0.002238776,0.8290842,0.0000853024],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.108814,0.02991243,0.01492914,0.002938547,0.003409709,0.002292977,0.01229015,0.001830808,0.8235821],"genre_scores_gemma":[0.54062,0.03119987,0.03975794,0.005394935,0.001945544,0.003293905,0.01400638,0.0005773435,0.3632041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04061262,"threshold_uncertainty_score":0.08075243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02703578959214231,"score_gpt":0.24395144253446,"score_spread":0.2169156529423177,"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."}}