{"id":"W4309510890","doi":"10.2196/40743","title":"State-of-the-Art Evidence Retriever for Precision Medicine: Algorithm Development and Validation","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm; State (computer science); Artificial intelligence; Data mining; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01696659,0.002431555,0.003176852,0.007323208,0.000759751,0.003226179,0.002986253,0.003674982,0.006066612],"category_scores_gemma":[0.05552437,0.0009386269,0.00210037,0.004314088,0.000866371,0.00325929,0.001743942,0.002326691,0.003115897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002090947,"about_ca_system_score_gemma":0.004845187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01136442,"about_ca_topic_score_gemma":0.009583986,"domain_scores_codex":[0.9925875,0.003305519,0.00109806,0.001018632,0.001771025,0.0002192907],"domain_scores_gemma":[0.9640999,0.02916729,0.001233673,0.001783645,0.003354626,0.0003608796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001597677,0.0005210052,0.008364868,0.003287332,0.00116328,0.0002459283,0.0001610169,0.1633874,0.0033555,0.004545929,0.02451079,0.7888594],"study_design_scores_gemma":[0.0004417759,0.0003615928,0.001251549,0.0002336171,0.0002592268,0.0003647828,0.00004030819,0.9844362,0.004056172,0.004189628,0.004319696,0.00004550976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04688395,0.03300828,0.8789784,0.002578165,0.0003335842,0.001785887,0.00376833,0.02808636,0.004577078],"genre_scores_gemma":[0.1912905,0.004477055,0.7958273,0.000805963,0.0002427611,0.001155451,0.003955449,0.0005122807,0.001733323],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01696659,"threshold_uncertainty_score":0.08972895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01659505195206527,"score_gpt":0.292804085567647,"score_spread":0.2762090336155817,"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."}}