{"id":"W6911286400","doi":"10.5281/zenodo.10406249","title":"Scipopus (Phaeopterina) noturgidus Lindsay & Marshall 2023, sp. nov.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fern and Epiphyte Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Seta; Holotype; Paratype; Rothschild; Chaetotaxy","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":[0.00009008363,0.0007337623,0.0002154024,0.001816334,0.001513653,0.0004711108,0.000442004,0.0004017814,0.01082541],"category_scores_gemma":[0.0003508815,0.0001780907,0.0001938764,0.001316931,0.0004787753,0.000594917,0.000593857,0.0005345329,0.004408455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009581439,"about_ca_system_score_gemma":0.0008990219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04521464,"about_ca_topic_score_gemma":0.1107269,"domain_scores_codex":[0.9998829,0.000006597886,0.00001095422,0.00003291457,0.00004489224,0.00002163506],"domain_scores_gemma":[0.999854,0.00001549107,0.00005062795,0.00001279,0.00003956956,0.00002744183],"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":[0.0003572796,0.0001053027,0.09290972,0.001571752,0.0001341587,0.006442588,0.001733153,0.0007048069,0.02835195,0.002004922,0.04512928,0.8205552],"study_design_scores_gemma":[0.0000578989,0.0001327648,0.5935742,0.0007592171,0.0001407823,0.01107929,0.002145658,0.0004547865,0.00328618,0.0004370864,0.3878947,0.00003746911],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4179503,0.01509297,0.005738764,0.001397273,0.001974998,0.001911956,0.02485103,0.001003911,0.5300788],"genre_scores_gemma":[0.8793238,0.01123307,0.01343972,0.0016622,0.0004798172,0.0007604982,0.01857538,0.0001220429,0.07440352],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04521464,"threshold_uncertainty_score":0.08990294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05064364377620853,"score_gpt":0.2396360012664239,"score_spread":0.1889923574902153,"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."}}