{"id":"W4235265328","doi":"10.1515/iupac.88.0971","title":"Knockout Mutation","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Computer science; Linguistics; 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":[0.001661655,0.001378973,0.001676068,0.002453369,0.001124226,0.002568458,0.002341053,0.002203532,0.1267496],"category_scores_gemma":[0.007771397,0.0006671202,0.001603078,0.003904265,0.0005724427,0.001903055,0.001686142,0.001849325,0.09793023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008977678,"about_ca_system_score_gemma":0.001943961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008048439,"about_ca_topic_score_gemma":0.0165754,"domain_scores_codex":[0.9981403,0.0002208363,0.0003491059,0.0007428439,0.0003487654,0.0001981332],"domain_scores_gemma":[0.9973718,0.0009051817,0.000412187,0.000812211,0.0003104571,0.000188202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000530587,0.00006031736,0.005691931,0.002657802,0.0001677308,0.0003479112,0.00006972336,0.0004405366,0.001146559,0.003068511,0.9671717,0.01864671],"study_design_scores_gemma":[0.0003145603,0.00004393867,0.009068699,0.0007892009,0.000161671,0.0008836372,0.00007639232,0.0002656628,0.0008740036,0.003882313,0.9835835,0.00005642009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008818867,0.000439847,0.0007125209,0.000200664,0.0001323165,0.00005214037,0.99331,0.0007125983,0.003558192],"genre_scores_gemma":[0.002276485,0.0005469776,0.001546939,0.0006009719,0.0000264032,0.0002842551,0.9902096,0.0004212154,0.00408722],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1267496,"threshold_uncertainty_score":0.4240195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009363125941932955,"score_gpt":0.4116688973470763,"score_spread":0.4023057714051434,"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."}}