{"id":"W1987895694","doi":"10.2217/bmm.09.35","title":"Company Profile: Caprion Proteomics, Inc.","year":2009,"lang":"en","type":"article","venue":"Biomarkers in Medicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Caprion (Canada)","funders":"","keywords":"Proteomics; Biomarker; Medicine; Identification (biology); Biomarker discovery; Biology","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":[0.0002118776,0.0001513322,0.000220211,0.00008750928,0.00005899963,0.000005749416,0.0002352783,0.0001234231,0.0003923697],"category_scores_gemma":[0.00006853673,0.00013124,0.00002353996,0.0002201733,0.0001323215,0.00004842048,0.00002837562,0.0002078914,0.00001244282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001198419,"about_ca_system_score_gemma":0.00002663951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007247457,"about_ca_topic_score_gemma":0.000006416253,"domain_scores_codex":[0.998984,0.00001034471,0.0003348448,0.0002831994,0.0001553217,0.0002322596],"domain_scores_gemma":[0.9993644,0.00002734256,0.000114276,0.000375341,0.00003887729,0.00007971601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001067437,0.0001134748,0.002008383,0.00005381288,0.0000155689,0.00001281553,0.0001253246,0.000002124513,0.942075,0.002881733,0.00988442,0.04272056],"study_design_scores_gemma":[0.004833776,0.0003180372,0.009136118,0.001204626,0.00005221167,0.00007061699,0.0006331053,0.004051429,0.8424698,0.04270647,0.09349247,0.001031397],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7467211,0.001903927,0.04498133,0.02157018,0.0001861391,0.002510026,0.00005727454,0.001098919,0.180971],"genre_scores_gemma":[0.8924118,0.0002216863,0.1058285,0.0005023696,0.0002305015,0.0001977599,0.0001286603,0.00002086264,0.000457871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1805132,"threshold_uncertainty_score":0.535181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585356874171723,"score_gpt":0.3005481582677791,"score_spread":0.2846945895260619,"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."}}