{"id":"W1979707516","doi":"10.1145/1971706.1971714","title":"Predictive Models in Personalized Medicine","year":2011,"lang":"en","type":"article","venue":"ACM SIGHIT Record","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Naval Research; State University of New York; U.S. Department of Energy; National Institutes of Health; National Science Foundation","keywords":"Personalized medicine; Field (mathematics); Computer science; Medical education; Data science; Medical physics; Medicine; Bioinformatics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006173747,0.001017125,0.001465679,0.002251504,0.0005644955,0.004107214,0.001469008,0.002441048,0.006770338],"category_scores_gemma":[0.01370575,0.0005122591,0.001024437,0.002543621,0.002137911,0.003929406,0.002064609,0.004347566,0.002632535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622669,"about_ca_system_score_gemma":0.001668399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003503132,"about_ca_topic_score_gemma":0.002287443,"domain_scores_codex":[0.9956769,0.002483746,0.0001778056,0.0006646811,0.0008599095,0.0001368859],"domain_scores_gemma":[0.9936342,0.004700904,0.0002868083,0.0006871621,0.0005406057,0.0001503039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001208399,0.00009943391,0.002602169,0.00119974,0.0004550415,0.0001916319,0.0002720383,0.04293119,0.0003914808,0.5205017,0.09043027,0.3408045],"study_design_scores_gemma":[0.00004097152,0.00007969884,0.001199213,0.0005162481,0.0001175966,0.0002003116,0.0001069858,0.08294499,0.0004648315,0.7824101,0.1318543,0.00006467222],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.005146837,0.1816493,0.682613,0.07495455,0.004198371,0.0001806021,0.002081484,0.001459574,0.04771638],"genre_scores_gemma":[0.464687,0.1769441,0.2842074,0.01911405,0.01500417,0.0008145114,0.004651496,0.0005002143,0.03407707],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006770338,"threshold_uncertainty_score":0.03265029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08616628336092805,"score_gpt":0.3043637609665821,"score_spread":0.2181974776056541,"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."}}