{"id":"W178755127","doi":"10.26443/mjm.v10i1.619","title":"Personalized Medicine: Challenging Pharmaceutical and Diagnostic Company Business Models","year":2020,"lang":"en","type":"article","venue":"McGill Journal of Medicine","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Personalized medicine; Business model; Precision medicine; Marketing; Bioinformatics; Business; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01299953,0.0003718848,0.0005214628,0.0009456595,0.004536679,0.0140798,0.001556787,0.007270872,0.05480953],"category_scores_gemma":[0.033811,0.0003701513,0.0005287805,0.001051368,0.006036239,0.01097636,0.004427954,0.005329672,0.01140316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006951448,"about_ca_system_score_gemma":0.01780534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0139636,"about_ca_topic_score_gemma":0.0377812,"domain_scores_codex":[0.9918942,0.002572469,0.0002955913,0.0009205178,0.003079292,0.001237964],"domain_scores_gemma":[0.9616795,0.01825085,0.002850863,0.003198273,0.00570224,0.008318292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001697077,0.000126371,0.003005168,0.0002493024,0.00002738658,0.000379916,0.0003460227,0.0007951664,0.000829411,0.4291402,0.4045109,0.1604205],"study_design_scores_gemma":[0.0000772299,0.00007227605,0.00633085,0.000896588,0.00002127648,0.0005495225,0.001717093,0.002890403,0.0006780289,0.2672253,0.7194487,0.00009273837],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.009902484,0.006059589,0.006298614,0.5981858,0.00446789,0.00004668491,0.0002752287,0.0002347826,0.3745289],"genre_scores_gemma":[0.5469297,0.0163398,0.01295902,0.2948933,0.008594601,0.0002170391,0.0003765168,0.0003616575,0.1193284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05480953,"threshold_uncertainty_score":0.1833562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08156411591864515,"score_gpt":0.3203314427097029,"score_spread":0.2387673267910578,"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."}}