{"id":"W6948998715","doi":"10.5281/zenodo.10406262","title":"Scipopus (Phaeopterina) turgidus 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; Rothschild; Chaetotaxy; Meristics","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":[0.0000748204,0.0007751616,0.0002399956,0.001687377,0.001081641,0.0004176953,0.0004094207,0.0003885242,0.00883811],"category_scores_gemma":[0.0002981116,0.0001706658,0.0002023846,0.001156019,0.0004200195,0.0005104997,0.0005181867,0.0004709131,0.004437473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004137,"about_ca_system_score_gemma":0.0005764301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04576593,"about_ca_topic_score_gemma":0.09231276,"domain_scores_codex":[0.9999217,0.000005529761,0.000007504133,0.00002484303,0.00002605557,0.0000142882],"domain_scores_gemma":[0.9998742,0.0000135351,0.0000480823,0.0000112817,0.00002888119,0.00002404967],"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":[0.0005233336,0.00009420814,0.07706557,0.001467897,0.0001454994,0.00490644,0.001811177,0.001098883,0.03428086,0.001490416,0.05054151,0.8265742],"study_design_scores_gemma":[0.00008370083,0.0001819699,0.6418582,0.0005875908,0.0001748471,0.007576885,0.001934845,0.0005973207,0.003939264,0.0003498224,0.3426804,0.00003526496],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.413752,0.02252955,0.007060831,0.001130403,0.00163752,0.001702744,0.03001306,0.001513453,0.5206604],"genre_scores_gemma":[0.9031526,0.009481752,0.009301849,0.001347845,0.0003408385,0.0005318958,0.01759887,0.0001158191,0.05812845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04576593,"threshold_uncertainty_score":0.09099913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05000835940838095,"score_gpt":0.23924776546675,"score_spread":0.1892394060583691,"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."}}