{"id":"W2167328524","doi":"10.1373/clinchem.2004.041087","title":"Identification of Serum Amyloid A as a Biomarker to Distinguish Prostate Cancer Patients with Bone Lesions","year":2005,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"Health Canada; Genome British Columbia; University of Victoria","keywords":"Prostate cancer; Bone metastasis; Biomarker discovery; Medicine; Biomarker; Proteomics; Prostate; Metastasis; Pathology; Serum amyloid A; Cancer; Cancer research; Internal medicine; Chemistry; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005463103,0.0004216356,0.0003096224,0.001531578,0.0002362957,0.0005568646,0.000205661,0.0005069494,0.0008674725],"category_scores_gemma":[0.00126476,0.0001334605,0.0002464795,0.0006969848,0.0002085806,0.0002355936,0.0002026704,0.0004139289,0.0003071864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001356493,"about_ca_system_score_gemma":0.000243828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005181908,"about_ca_topic_score_gemma":0.0006827267,"domain_scores_codex":[0.9998094,0.0000541193,0.00002254346,0.00004013206,0.00005119731,0.0000225377],"domain_scores_gemma":[0.999275,0.0002090448,0.0001764016,0.00002154059,0.0001756885,0.0001422185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004889832,0.0001390503,0.963133,0.00005043979,0.00007765597,0.0003921328,0.00005836383,0.0003458557,0.02392643,0.00005020986,0.0003372424,0.01100076],"study_design_scores_gemma":[0.00006306027,0.001129088,0.9607754,0.00004228647,0.0001780828,0.005353202,0.0002182499,0.01001481,0.02011166,0.0003702056,0.001723173,0.00002074353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964037,0.001314307,0.001192592,0.00008922534,0.00002129793,0.00003420003,0.0001582919,0.00004231098,0.0007442011],"genre_scores_gemma":[0.9977905,0.0002144884,0.001659717,0.00004670674,0.000025155,0.00001168204,0.0001568266,0.000003170671,0.00009181193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001531578,"threshold_uncertainty_score":0.002902031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01940039898461855,"score_gpt":0.3523290013713301,"score_spread":0.3329286023867116,"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."}}