{"id":"W6930755325","doi":"10.5281/zenodo.16055648","title":"Gyratrix hermaphroditus Ehrenberg 1831","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Table (database); Taxon; Cluster (spacecraft); Phylogenetics; Yield (engineering); DNA barcoding","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":[0.0001633924,0.0003977205,0.0005720257,0.001121383,0.001105586,0.0005075088,0.0004222077,0.0004428379,0.02008994],"category_scores_gemma":[0.0003573505,0.0001845967,0.0001938725,0.00101722,0.0005125375,0.0005986503,0.0008156932,0.0004678794,0.005922854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003563868,"about_ca_system_score_gemma":0.0002138329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002136187,"about_ca_topic_score_gemma":0.006963723,"domain_scores_codex":[0.999741,0.00003587118,0.00002933416,0.00009581471,0.00007547101,0.00002253614],"domain_scores_gemma":[0.9998703,0.00003849178,0.00004209644,0.0000174473,0.00001697868,0.00001474987],"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":[0.001141732,0.0003874002,0.1221715,0.00293653,0.0002715803,0.008116851,0.01148568,0.002587202,0.08424653,0.01068895,0.02942133,0.7265446],"study_design_scores_gemma":[0.00005167507,0.000578727,0.6048918,0.0004924368,0.0001330585,0.01295786,0.002924553,0.001690765,0.004740596,0.002807718,0.3686436,0.0000872102],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8025988,0.006915845,0.007520482,0.0005286445,0.000722334,0.0003987428,0.008054434,0.001079209,0.1721814],"genre_scores_gemma":[0.9627735,0.001505564,0.0092714,0.0003015999,0.0002171531,0.0001964275,0.005156538,0.0001975903,0.02038023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02008994,"threshold_uncertainty_score":0.06720752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602438938619532,"score_gpt":0.2254675817910645,"score_spread":0.2094431924048692,"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."}}