{"id":"W4247314103","doi":"10.1515/iupac.88.0841","title":"Gene Targeting","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Biology; Linguistics; Data mining; 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":[0.001724156,0.001453704,0.001914439,0.003795404,0.001077388,0.003323428,0.002500555,0.002396673,0.1063111],"category_scores_gemma":[0.01169498,0.0006801756,0.001874052,0.006783355,0.0005167021,0.001978356,0.001835995,0.002222384,0.0964546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585488,"about_ca_system_score_gemma":0.003242641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009445368,"about_ca_topic_score_gemma":0.01766097,"domain_scores_codex":[0.9979877,0.0002941608,0.0003928232,0.0007098031,0.0004087533,0.0002066697],"domain_scores_gemma":[0.995629,0.001748451,0.0005336792,0.00109565,0.0007401531,0.0002531853],"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":[0.0002788084,0.00003457276,0.002406685,0.004292768,0.00009588025,0.00008672565,0.00004896612,0.0004970852,0.0009107168,0.002060205,0.9725345,0.0167532],"study_design_scores_gemma":[0.0002412385,0.00003604849,0.003919234,0.001006868,0.0001013401,0.0002411524,0.00005649367,0.0002913976,0.0007854938,0.002650424,0.990634,0.00003637477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002668696,0.000716517,0.0004478924,0.000185371,0.00007645207,0.00004695826,0.9950304,0.0005560121,0.002673408],"genre_scores_gemma":[0.0008599658,0.0007263942,0.001253289,0.0004626327,0.0000207086,0.0002973537,0.9945127,0.0001714729,0.001695581],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1063111,"threshold_uncertainty_score":0.3556461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03623434956467071,"score_gpt":0.4967004190604379,"score_spread":0.4604660694957672,"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."}}