{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004692421,0.0001564937,0.000257585,0.0001979426,0.00006343818,0.00001429377,0.001545072,0.00009282578,0.0003124303],"category_scores_gemma":[0.0005119783,0.0001322881,0.00004126436,0.0004622741,0.00008081266,0.0004072813,0.0003809913,0.0003806105,0.00005714231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008460249,"about_ca_system_score_gemma":0.00008011819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003994283,"about_ca_topic_score_gemma":0.0002418857,"domain_scores_codex":[0.9983408,0.0002231203,0.0003147097,0.0004822755,0.0002924522,0.000346667],"domain_scores_gemma":[0.9984379,0.0002816328,0.0001144007,0.0009428827,0.00008677968,0.0001364132],"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":[0.0003024019,0.000270239,0.2848767,0.0001884703,0.00007115689,0.0003499333,0.1201139,0.0007957406,0.00009259937,0.2473102,0.007670967,0.3379577],"study_design_scores_gemma":[0.001713506,0.001122099,0.0906787,0.0002608926,0.000011082,0.00003801738,0.0003892815,0.6373094,0.00004519887,0.2599415,0.008001258,0.0004890231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1008784,0.0008141865,0.782535,0.01035629,0.001960895,0.0007989164,0.000003590376,0.0008155744,0.1018371],"genre_scores_gemma":[0.9213259,0.00006603071,0.07674652,0.000838,0.0001353856,0.00005511991,0.000002527791,0.00001770438,0.0008128363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8204475,"threshold_uncertainty_score":0.6038188,"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."}}