{"id":"W4405465264","doi":"10.1016/j.nuclcard.2024.102090","title":"Automation is crucial for precision medicine","year":2024,"lang":"en","type":"editorial","venue":"Journal of Nuclear Cardiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Siemens Medical Solutions USA; Pfizer","keywords":"Medicine; Precision medicine; Medical physics; Automation; MEDLINE; Pathology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004864878,0.0002068105,0.0007902326,0.0002588877,0.00004280518,0.00002099641,0.0002291279,0.0005621494,0.0000459079],"category_scores_gemma":[0.0005710344,0.0001683507,0.0003327651,0.00008119324,0.00005108381,0.0001292175,0.00003181738,0.0009252789,0.00003677757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001685021,"about_ca_system_score_gemma":0.00005336251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.655541e-7,"about_ca_topic_score_gemma":2.013446e-7,"domain_scores_codex":[0.99871,0.00003623564,0.0005947719,0.0001419255,0.0003159619,0.0002010597],"domain_scores_gemma":[0.9988729,0.0004491746,0.0001925686,0.0001429299,0.0002772257,0.0000652446],"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":[0.00006122003,0.000001574879,2.769225e-7,0.0001871784,0.0002565812,0.00004305959,0.0002629703,0.003284005,0.0004099576,0.0000269529,0.9841366,0.01132964],"study_design_scores_gemma":[0.0004754796,0.0002794564,0.000006409933,0.0004133223,0.0002632824,0.0001064369,0.00006572294,0.002786086,0.000008453188,0.002250178,0.9932008,0.0001443735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001389197,0.004029691,0.01595335,0.0003183622,0.9774859,0.0001172306,0.00006155865,0.0001068017,0.00178817],"genre_scores_gemma":[0.001916106,0.001722314,0.001913383,0.00004736547,0.994124,0.00000299634,0.0000204674,0.0001191843,0.0001342002],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01663807,"threshold_uncertainty_score":0.6865144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008290167169077513,"score_gpt":0.2756162394757704,"score_spread":0.2673260723066929,"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."}}