{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006460192,0.0008309266,0.0007141805,0.002695685,0.002148957,0.008985428,0.001587833,0.001523174,0.01852958],"category_scores_gemma":[0.02885844,0.0004667451,0.001252679,0.002797452,0.006755473,0.01548792,0.005220375,0.003397718,0.004879931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167792,"about_ca_system_score_gemma":0.003031205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005405085,"about_ca_topic_score_gemma":0.005547252,"domain_scores_codex":[0.9962409,0.001442692,0.0002657232,0.001143577,0.0007326002,0.0001745465],"domain_scores_gemma":[0.9915221,0.003335514,0.0007875852,0.002491894,0.001298771,0.0005641728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001411087,0.00008116275,0.04699478,0.0006917116,0.0001447173,0.001127228,0.02009555,0.001551297,0.003810689,0.5387639,0.07255444,0.3140434],"study_design_scores_gemma":[0.00001040918,0.00004129912,0.01518048,0.0006993393,0.0001005668,0.001053314,0.009502354,0.0018508,0.001979172,0.4696581,0.4998277,0.00009638933],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09327549,0.007813904,0.5699869,0.1122416,0.00300933,0.0003462956,0.01636882,0.005525082,0.1914327],"genre_scores_gemma":[0.5288229,0.01196377,0.377129,0.01473022,0.0007328396,0.0004827504,0.01222493,0.004081509,0.04983209],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01852958,"threshold_uncertainty_score":0.06198758,"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."}}