{"id":"W2134708698","doi":"10.1161/circgenetics.110.957761","title":"Clinical Proteomics","year":2012,"lang":"en","type":"article","venue":"Circulation Cardiovascular Genetics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"Canadian Institutes of Health Research","keywords":"Proteomics; Computer science; Computational biology; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004985565,0.000144742,0.0002461206,0.00002825492,0.0001157766,0.00002831761,0.0001691066,0.0002080521,0.0001076457],"category_scores_gemma":[0.00004736012,0.0001599979,0.0005933884,0.0001198123,0.00006588355,0.0001149235,0.00006778804,0.0002094631,0.0000758523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006190846,"about_ca_system_score_gemma":0.00002795201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000213473,"about_ca_topic_score_gemma":1.184731e-7,"domain_scores_codex":[0.9987684,0.00003274061,0.0003814989,0.0002639664,0.0002559763,0.0002974149],"domain_scores_gemma":[0.9986855,0.00002762016,0.00009489885,0.0009338102,0.00009438641,0.0001638164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001620522,0.0003860334,0.6154991,0.0001880089,0.001398862,0.000002997527,0.0001969668,0.01605116,0.07248349,0.009093124,0.0003505135,0.2843335],"study_design_scores_gemma":[0.001473916,0.00001743043,0.07913515,0.0000490295,0.0007239132,0.0001195473,0.0001181081,0.006999458,0.2005263,0.006049931,0.7034312,0.00135602],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.430426,0.004121841,0.5576705,0.00002048559,0.0001197669,0.0002943773,0.000009237529,0.000217872,0.007119976],"genre_scores_gemma":[0.8715355,0.000471657,0.1267655,0.00004383847,0.0009006524,0.0001421738,0.00004468896,0.00004009218,0.00005585816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7030807,"threshold_uncertainty_score":0.6524525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03784715286279775,"score_gpt":0.3127886033220112,"score_spread":0.2749414504592135,"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."}}