{"id":"W6948852670","doi":"10.5281/zenodo.10406246","title":"Scipopus (Phaeopterina) narupa Lindsay & Marshall 2023, sp. nov.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Libraries and Information Services","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Holotype; Seta; Paratype; Chaetotaxy; Genus","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":[0.0001381762,0.0009603886,0.000331332,0.001655384,0.001486312,0.0005881935,0.0005274854,0.0005435067,0.01122679],"category_scores_gemma":[0.0005538136,0.0002335497,0.0002104261,0.001320959,0.0006538458,0.001212343,0.0008489717,0.0007373903,0.005199686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008162805,"about_ca_system_score_gemma":0.0005372162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02043724,"about_ca_topic_score_gemma":0.0375328,"domain_scores_codex":[0.9998592,0.00001045281,0.00001867752,0.00004861843,0.00004598454,0.0000170017],"domain_scores_gemma":[0.9998165,0.00002479775,0.0000734265,0.00001898725,0.00004100945,0.0000252983],"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":[0.0004705937,0.0001347545,0.0516715,0.001600724,0.0001866571,0.005104787,0.002832876,0.001249701,0.02276877,0.002721343,0.05147455,0.8597836],"study_design_scores_gemma":[0.0001256161,0.0002159455,0.5007115,0.0009417685,0.000288153,0.01139943,0.002944846,0.0008838482,0.003731793,0.0009088775,0.4778,0.00004820979],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3902634,0.02779421,0.0103005,0.0019484,0.002039751,0.002164344,0.0214438,0.001360731,0.5426848],"genre_scores_gemma":[0.861694,0.01666215,0.01590219,0.002073563,0.0006592319,0.001329718,0.01727383,0.0001901843,0.0842151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02043724,"threshold_uncertainty_score":0.04063654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06358372712379741,"score_gpt":0.2356159495551627,"score_spread":0.1720322224313653,"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."}}