{"id":"W6912503970","doi":"10.5281/zenodo.3790291","title":"Lasionycta secedens subsp. secedens secedens (Walker","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Subspecies; NOMINATE; Taxonomy (biology); Gray (unit)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00006781065,0.0003117744,0.0001563265,0.0009917023,0.0005692038,0.0003596116,0.0002872435,0.0001822319,0.02714215],"category_scores_gemma":[0.0001226121,0.0001039992,0.00008507365,0.001103454,0.0002147741,0.0004601758,0.0006232558,0.0003220396,0.006895732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003625049,"about_ca_system_score_gemma":0.0003449517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01664503,"about_ca_topic_score_gemma":0.05080917,"domain_scores_codex":[0.999946,0.000004653052,0.000004792065,0.00002190343,0.00001457346,0.000008127558],"domain_scores_gemma":[0.999938,0.000006947785,0.00001866222,0.000003993043,0.0000246921,0.000007624946],"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":[0.0004770935,0.0001116521,0.09515756,0.000832973,0.00005847401,0.001836674,0.002012524,0.0005239952,0.03890951,0.005389419,0.04762019,0.80707],"study_design_scores_gemma":[0.00007772881,0.0001173575,0.3951389,0.0004310267,0.00005118561,0.00277236,0.002800111,0.0003601462,0.002594738,0.001287147,0.5943375,0.00003179745],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5078973,0.005260628,0.005629163,0.0006759494,0.0003412149,0.0003900651,0.02060122,0.0006776867,0.4585267],"genre_scores_gemma":[0.8447743,0.003778646,0.009680286,0.0004548581,0.00006221292,0.000379942,0.02941773,0.0001011416,0.1113509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02714215,"threshold_uncertainty_score":0.09079951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02221575723749512,"score_gpt":0.2365787860126821,"score_spread":0.2143630287751869,"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."}}