{"id":"W4232492654","doi":"10.1515/iupac.88.0605","title":"Chromosome Deletion","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Carcinogens and Genotoxicity Assessment","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; Relation (database); Biology; Computer science; Linguistics; Philosophy; Data mining","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":[0.001495408,0.001374981,0.001449514,0.003942279,0.001017768,0.002255829,0.002040312,0.001567063,0.1275026],"category_scores_gemma":[0.01015045,0.0006007832,0.001294555,0.006480942,0.0004670771,0.001592197,0.00200028,0.001605613,0.06767236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011325,"about_ca_system_score_gemma":0.002728598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01418694,"about_ca_topic_score_gemma":0.02778915,"domain_scores_codex":[0.9983248,0.0002158719,0.000411064,0.0005573797,0.0003391597,0.0001516421],"domain_scores_gemma":[0.9959494,0.001478861,0.0006136284,0.0009843203,0.0007561749,0.0002176905],"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":[0.0001611723,0.00001460195,0.002402411,0.002289077,0.00006734511,0.0001417775,0.00004045602,0.0002218627,0.0002399191,0.001101788,0.9790662,0.01425327],"study_design_scores_gemma":[0.0001894167,0.00001866054,0.008591474,0.001274054,0.00006759603,0.0004697884,0.00006357943,0.000116281,0.0003403115,0.001878948,0.9869565,0.00003341243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000275103,0.0004202751,0.000211902,0.0001543546,0.00006871872,0.00003838808,0.9956526,0.0002107499,0.002967995],"genre_scores_gemma":[0.0008409963,0.000534789,0.0006764103,0.0002545408,0.00002080088,0.0001754519,0.9956268,0.00007572305,0.001794465],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1275026,"threshold_uncertainty_score":0.4265386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299683413643451,"score_gpt":0.4084450453898212,"score_spread":0.3954482112533867,"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."}}