{"id":"W6892431209","doi":"10.5281/zenodo.10406243","title":"Scipopus (Phaeopterina) metallicus 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":"Holotype; Seta; Frontal Bossing; Paratype; Postcrania","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":[0.00010658,0.0007067911,0.0002585501,0.001530184,0.001423869,0.0003606934,0.0004319046,0.0006104097,0.01038649],"category_scores_gemma":[0.0003133773,0.0002157264,0.0002171981,0.001223099,0.0005242,0.0006317123,0.0005663616,0.0006253735,0.005404598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008059074,"about_ca_system_score_gemma":0.000580384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.031076,"about_ca_topic_score_gemma":0.0607746,"domain_scores_codex":[0.9999022,0.000006747347,0.000009080586,0.00003724429,0.00003048293,0.00001416339],"domain_scores_gemma":[0.9998659,0.00001661894,0.00004969318,0.00001546337,0.0000335847,0.00001866021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007189541,0.0001389942,0.06782454,0.001428411,0.0001682678,0.004373647,0.001895338,0.00136132,0.03400546,0.002324054,0.06235348,0.8234075],"study_design_scores_gemma":[0.0001513646,0.0002736025,0.5732216,0.0008097306,0.0002207132,0.008759856,0.001791828,0.0008100719,0.0037645,0.0005164566,0.4096405,0.00003985422],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4623227,0.01498031,0.01092954,0.00192852,0.001960446,0.002258103,0.03390619,0.001531329,0.4701828],"genre_scores_gemma":[0.8326178,0.01207798,0.02280871,0.002572349,0.0006064315,0.001332008,0.02854346,0.0001479005,0.09929328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.031076,"threshold_uncertainty_score":0.06179023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05484575858203138,"score_gpt":0.2419842303444022,"score_spread":0.1871384717623708,"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."}}