{"id":"W6930320364","doi":"10.5281/zenodo.13243946","title":"Anaspis (Anaspis) flavipennis Haldeman 1848","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"West virginia; Alien; Selection (genetic algorithm); Key (lock); Identification (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001303038,0.0005347841,0.0002232946,0.0009031894,0.001060042,0.0003306778,0.0004351939,0.0002507807,0.003772382],"category_scores_gemma":[0.0001760683,0.0001178808,0.0001108874,0.0006111617,0.0002311917,0.0004975285,0.0003473485,0.000366028,0.002121848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008700519,"about_ca_system_score_gemma":0.0004054971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04522295,"about_ca_topic_score_gemma":0.09193242,"domain_scores_codex":[0.9998819,0.000007727234,0.000007363583,0.00003021226,0.00005872555,0.00001405463],"domain_scores_gemma":[0.9998519,0.00002005027,0.00003162878,0.000006258127,0.00007319495,0.00001692985],"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":[0.0002576898,0.0001587216,0.07021,0.00058688,0.0001062955,0.001525115,0.0008594338,0.0008623229,0.04320367,0.002938592,0.05755208,0.8217393],"study_design_scores_gemma":[0.0001000819,0.0002682427,0.4516275,0.000329161,0.0001012042,0.003069947,0.001443912,0.0008171345,0.005432241,0.002455524,0.5343223,0.00003272847],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4852994,0.0427359,0.008613387,0.001637335,0.0009469743,0.0006799427,0.01587611,0.00131897,0.442892],"genre_scores_gemma":[0.9221185,0.01134219,0.006174986,0.0009187366,0.0002229955,0.0001529522,0.006508165,0.0000338477,0.05252755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04522295,"threshold_uncertainty_score":0.08991945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1364560211164591,"score_gpt":0.4053636163069848,"score_spread":0.2689075951905257,"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."}}