{"id":"W6930609892","doi":"10.5281/zenodo.14597230","title":"Neostethynium stenopterum","year":2024,"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":"Natural Resources Canada","funders":"","keywords":"Distribution (mathematics); Type (biology); Term (time); Class (philosophy)","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":[0.00006692528,0.0003049643,0.0002532307,0.0008437962,0.0006590607,0.0001760772,0.0001756325,0.000159634,0.007785216],"category_scores_gemma":[0.0001516268,0.0001076592,0.0001047993,0.0007781423,0.0001773225,0.000320998,0.000483447,0.0001929403,0.002978188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003984204,"about_ca_system_score_gemma":0.0003142752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01194033,"about_ca_topic_score_gemma":0.02588145,"domain_scores_codex":[0.9999372,0.000006218862,0.000006147044,0.00001784005,0.00001880344,0.0000137326],"domain_scores_gemma":[0.9999449,0.000005593767,0.00001530986,0.000006715267,0.00001640119,0.00001104641],"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":[0.001018145,0.00007688552,0.0939544,0.001512901,0.00004992098,0.002752631,0.002422891,0.0007917229,0.1083898,0.003143714,0.03343992,0.7524471],"study_design_scores_gemma":[0.00005576054,0.0001566918,0.5519434,0.0004454188,0.00005396457,0.003747602,0.00118438,0.0002890007,0.004430255,0.0007556549,0.436911,0.00002683843],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6901807,0.00800016,0.005538526,0.0005907713,0.0004034462,0.0002800748,0.01707299,0.000571615,0.2773618],"genre_scores_gemma":[0.9091752,0.004955281,0.005675823,0.0003183144,0.00009990372,0.0001792429,0.01525297,0.00009911473,0.06424415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01194033,"threshold_uncertainty_score":0.02604419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621506859605846,"score_gpt":0.2294404986753237,"score_spread":0.2132254300792652,"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."}}