{"id":"W2479033895","doi":"10.6082/hzt1q-ygb10","title":"Finding Our Way through Phenotypes","year":2015,"lang":"en","type":"article","venue":"UKnowledge (University of Kentucky)","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Phenotype; Biology; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001452295,0.00008864648,0.0001395603,0.00003496351,0.0000726344,0.000004535026,0.000263087,0.0001603786,0.00002160373],"category_scores_gemma":[0.0001333383,0.00009552955,0.00007487374,0.0001080313,0.0001130461,0.00000498028,0.0001913872,0.0000719101,0.00007287731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001775783,"about_ca_system_score_gemma":0.00007358576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005414357,"about_ca_topic_score_gemma":0.0001134948,"domain_scores_codex":[0.9993975,0.0000429892,0.00007147399,0.0002155343,0.0001041233,0.0001683791],"domain_scores_gemma":[0.9995039,0.000007275911,0.00006506006,0.0002174167,0.0001120488,0.00009430667],"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":[0.0008180439,0.0006127296,0.01489354,0.0001755893,0.0004581938,0.00007608991,0.01170843,0.00002878549,0.06388306,0.002624487,0.7186269,0.1860941],"study_design_scores_gemma":[0.001628057,0.0005589072,0.002209446,0.00005118114,0.00005162899,0.00001023989,0.01502007,0.0000781535,0.01128398,0.0006112122,0.9681988,0.0002982739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9339641,0.002361092,0.01218016,0.001185841,0.0006796673,0.0001150552,0.00001881042,0.00006353973,0.04943178],"genre_scores_gemma":[0.9842246,0.00009783934,0.008211558,0.00003623383,0.0001304971,1.352471e-7,0.00003016516,0.000007824749,0.007261111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2495719,"threshold_uncertainty_score":0.3895582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04900077040518896,"score_gpt":0.2681472746544255,"score_spread":0.2191465042492365,"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."}}