{"id":"W1528082181","doi":"10.6000/1927-5129.2015.11.59","title":"Personalized Medicines: Reforming Diagnostics and Therapeutics","year":2015,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Personalized medicine; Medicine; Precision medicine; Alternative medicine; Pharmacology; Bioinformatics; Biology; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003370841,0.0001096152,0.0002265606,0.0001969386,0.0001391567,0.0001662469,0.0007819447,0.00003148018,0.000002474624],"category_scores_gemma":[0.0002475224,0.00007345765,0.00004286889,0.0005714229,0.0004117225,0.0005580963,0.000154616,0.0001576442,0.000002743691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005542005,"about_ca_system_score_gemma":0.0005388749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002767974,"about_ca_topic_score_gemma":0.000001423833,"domain_scores_codex":[0.9981855,0.00008610992,0.0003701291,0.0001864497,0.0009793998,0.0001924249],"domain_scores_gemma":[0.9983038,0.0008454272,0.0003442302,0.00012362,0.0002052364,0.0001777153],"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":[0.0001065067,0.000246517,0.004522858,0.0000439601,0.0001212314,0.0001127319,0.02740011,0.01099288,0.003610174,0.479454,0.002917396,0.4704716],"study_design_scores_gemma":[0.006514614,0.002439321,0.01474153,0.0003776301,0.0001954976,0.002399876,0.02007335,0.2150903,0.00590267,0.6690968,0.06193093,0.001237504],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4745334,0.003160846,0.5091985,0.006300082,0.001026306,0.0001314797,8.310446e-7,0.00003048459,0.005618023],"genre_scores_gemma":[0.8498972,0.0001830165,0.1481798,0.001462455,0.000250653,0.000001753564,1.289088e-7,0.000004943675,0.00002009202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4692341,"threshold_uncertainty_score":0.2995516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06948738707635548,"score_gpt":0.3403330237765729,"score_spread":0.2708456367002174,"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."}}