{"id":"W1952729546","doi":"10.1517/17530059.1.1.147","title":"Highlights of the Third Annual Biomarker World Congress: biomarkers for molecular diagnostics","year":2007,"lang":"en","type":"article","venue":"Expert Opinion on Medical Diagnostics","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's Health Research Institute","funders":"","keywords":"Biomarker; Biomarker discovery; Drug development; Medicine; Molecular biomarkers; Profiling (computer programming); Computational biology; Bioinformatics; Proteomics; Drug; Oncology; Biology; Pharmacology; Computer science","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":[0.005839357,0.002387322,0.00101659,0.001542161,0.001695378,0.004520769,0.001547404,0.007921759,0.01810738],"category_scores_gemma":[0.00344522,0.0003947974,0.001391016,0.001020111,0.0006942999,0.002442969,0.001706855,0.005065775,0.007013988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002622155,"about_ca_system_score_gemma":0.004180997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001271987,"about_ca_topic_score_gemma":0.002766049,"domain_scores_codex":[0.9982563,0.0003586785,0.0001158415,0.0001912885,0.0007530516,0.0003248978],"domain_scores_gemma":[0.9972239,0.0003063871,0.000245936,0.00005056412,0.001264489,0.0009087028],"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":[0.000282392,0.0001467426,0.0004053861,0.0006213996,0.00002639522,0.0004533826,0.0001564452,0.0002010972,0.002852187,0.003493199,0.9273874,0.06397393],"study_design_scores_gemma":[0.00002802826,0.0001363653,0.001060161,0.00023328,0.00002658217,0.0002570249,0.0002024112,0.0001403399,0.0008811931,0.001365776,0.9956435,0.00002548021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"review","genre_scores_codex":[0.009331178,0.1571192,0.006504211,0.3098282,0.4555058,0.001254341,0.0009237134,0.0002849554,0.05924844],"genre_scores_gemma":[0.04631379,0.1436485,0.0113545,0.09332208,0.3380299,0.001602799,0.002309132,0.0003697366,0.3630495],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01810738,"threshold_uncertainty_score":0.06057525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02511335293959321,"score_gpt":0.3398107779558041,"score_spread":0.3146974250162109,"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."}}