{"id":"W4408869401","doi":"10.1136/bmjopen-2024-096591","title":"Precision Oncology Program (POP), an observational study using real-world data and imaging mass cytometry to explore decision support for the Molecular Tumor Board: study protocol","year":2025,"lang":"en","type":"article","venue":"BMJ Open","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Roche (Canada)","funders":"Universitätsspital Zürich; Universität Zürich","keywords":"Medicine; Precision medicine; Observational study; Medical physics; Protocol (science); Institutional review board; Oncology; Family medicine; Internal medicine; Pathology; Alternative medicine; Surgery","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":[0.001934284,0.0002164027,0.0003134697,0.0001133669,0.0002825615,0.0003104089,0.00135148,0.00004488883,0.000006372465],"category_scores_gemma":[0.0002523503,0.0001651131,0.00004269785,0.0003543733,0.00005325934,0.00003693535,0.001429548,0.00009067782,6.743034e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000472576,"about_ca_system_score_gemma":0.0004254446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003972018,"about_ca_topic_score_gemma":0.001577903,"domain_scores_codex":[0.9979153,0.0002115371,0.0004985882,0.0008416635,0.0002636621,0.0002692997],"domain_scores_gemma":[0.9981854,0.0001019853,0.0001428042,0.001271683,0.0002014512,0.00009665979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009821136,0.004636344,0.60778,0.00008374784,0.0002963769,0.00006015974,0.0006118183,0.000274979,0.1501522,0.00003452179,0.002555616,0.2236931],"study_design_scores_gemma":[0.03252735,0.02858261,0.5708349,0.0004310288,0.0009036952,0.00004060074,0.02112225,0.06371091,0.03196453,0.0007987444,0.2468973,0.002186047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6641484,0.000006377797,0.03215072,0.0002077779,0.0001549443,0.3030795,0.0000430921,0.00001817396,0.000191017],"genre_scores_gemma":[0.6405591,0.000001582429,0.08961121,0.0009971953,0.0002028366,0.2680024,0.0002909537,0.00006623122,0.0002684537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2443417,"threshold_uncertainty_score":0.6733117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3293624895111678,"score_gpt":0.5348058555912355,"score_spread":0.2054433660800677,"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."}}