{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001347603,0.002146089,0.0008786031,0.003787823,0.00149471,0.004866692,0.001957775,0.003514129,0.613795],"category_scores_gemma":[0.002708574,0.0005898027,0.0006449997,0.002702101,0.0004042804,0.002492001,0.001220331,0.001556334,0.56384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009749858,"about_ca_system_score_gemma":0.003086721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002209589,"about_ca_topic_score_gemma":0.004424364,"domain_scores_codex":[0.9982645,0.0001052934,0.00005484496,0.0003901609,0.001011291,0.0001739303],"domain_scores_gemma":[0.9958284,0.0003204661,0.0001981113,0.0003044791,0.001658103,0.001690449],"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":[0.0001556377,0.00008919476,0.0005914118,0.0002923906,0.000008139368,0.0001822256,0.00002924387,0.00006539745,0.002382993,0.001026663,0.8809747,0.1142022],"study_design_scores_gemma":[0.00003914659,0.00006271299,0.0009706386,0.00009029869,0.00001066638,0.000329617,0.00003709935,0.0002296862,0.0008579059,0.0002396117,0.9971164,0.00001613824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00248463,0.007773912,0.003596489,0.008799843,0.003576176,0.000747557,0.01374936,0.008437398,0.9508347],"genre_scores_gemma":[0.01049728,0.003452658,0.002146372,0.005286818,0.001255361,0.0002309553,0.01816277,0.0008356788,0.9581321],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.613795,"threshold_uncertainty_score":0.5508745,"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."}}