{"id":"W6948469704","doi":"10.5281/zenodo.10167213","title":"Gyrophaena caseyi Seevers","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Agriculture and Agri-Food Canada; Canadian Forest Service","funders":"","keywords":"Table (database); Habitat; Vegetation (pathology); Key (lock)","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":[0.0001112737,0.0006591282,0.0003975842,0.001700858,0.001197206,0.0003659907,0.0005302206,0.0008191952,0.04395438],"category_scores_gemma":[0.0004493863,0.0003313541,0.0001659318,0.0009949835,0.0008844593,0.00156695,0.0009560265,0.0006460995,0.01334107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008159882,"about_ca_system_score_gemma":0.0002788917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01345922,"about_ca_topic_score_gemma":0.03419913,"domain_scores_codex":[0.9997934,0.0000180505,0.0000177814,0.00009240607,0.00005469044,0.00002373005],"domain_scores_gemma":[0.9998598,0.00003573667,0.00004428442,0.00002113999,0.00002539398,0.00001362063],"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":[0.0005200501,0.0001933514,0.02809424,0.0008577872,0.00004700448,0.006153399,0.002023756,0.001499946,0.021793,0.007360785,0.1060253,0.8254313],"study_design_scores_gemma":[0.0001495245,0.0004526002,0.1916465,0.0006833563,0.00007848819,0.01113586,0.001859588,0.0007924389,0.003115486,0.003149319,0.7868907,0.00004612411],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2685957,0.01825744,0.004446466,0.001854969,0.001028056,0.001020543,0.01015207,0.001161809,0.6934829],"genre_scores_gemma":[0.8983462,0.006284902,0.006116378,0.0014675,0.0002480212,0.0003275251,0.005746904,0.0001286561,0.08133399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04395438,"threshold_uncertainty_score":0.147042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02825376618572983,"score_gpt":0.2413419351922592,"score_spread":0.2130881690065294,"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."}}