{"id":"W2176231757","doi":"10.1161/circgenetics.115.001219","title":"Finding the Therapeutic Sweet Spot","year":2015,"lang":"en","type":"letter","venue":"Circulation Cardiovascular Genetics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Sweet spot; Medicine; Computer science; Simulation","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000534229,0.0004320022,0.0004146401,0.00008073093,0.000213951,0.0001338218,0.0005908802,0.0008782022,0.00001894824],"category_scores_gemma":[0.0000579238,0.0003538797,0.001285993,0.0001474604,0.0001342,0.000002428906,0.0001879933,0.0005115857,0.00006298046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000657795,"about_ca_system_score_gemma":0.0003454302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001004406,"about_ca_topic_score_gemma":0.000002153275,"domain_scores_codex":[0.9974577,0.0003119687,0.0003469131,0.0007148864,0.0007186243,0.0004499042],"domain_scores_gemma":[0.9975099,0.00002064411,0.0001576267,0.00188072,0.0003390394,0.00009204991],"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":[0.00001572251,0.00002591199,0.0006888438,0.0001288959,0.004938114,0.0001687671,0.00009883736,0.03476289,0.002582539,0.00001415675,0.9449003,0.01167499],"study_design_scores_gemma":[0.0003510546,0.00003427996,0.001611295,0.00001361927,0.0007767963,0.0001448408,0.00002920731,0.0002239241,0.0004097229,0.0002346689,0.995671,0.0004995395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1559441,0.6707961,0.02962735,0.1187863,0.009322585,0.005629247,0.0009977256,0.0002367981,0.008659785],"genre_scores_gemma":[0.7483067,0.00317351,0.0002669921,0.2193564,0.0200991,0.0001583363,0.006789386,0.0003825022,0.001467028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6676226,"threshold_uncertainty_score":0.9998913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03242586616792502,"score_gpt":0.2456205565234296,"score_spread":0.2131946903555046,"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."}}