{"id":"W71803325","doi":"10.26443/mjm.v10i1.626","title":"Personalized Medicine Some Thoughts","year":2020,"lang":"en","type":"article","venue":"McGill Journal of Medicine","topic":"Diet and metabolism studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Personalized medicine; Traditional medicine; Bioinformatics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01000421,0.0009559349,0.001273657,0.001731572,0.003920492,0.007531734,0.001698987,0.008908579,0.04816212],"category_scores_gemma":[0.04886612,0.0003324464,0.001217941,0.001275184,0.007939928,0.009281483,0.003611489,0.0218059,0.02258572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003633705,"about_ca_system_score_gemma":0.005405148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006033345,"about_ca_topic_score_gemma":0.009226393,"domain_scores_codex":[0.9918527,0.003553206,0.0005653273,0.000989474,0.002485197,0.0005540805],"domain_scores_gemma":[0.9706632,0.01315107,0.00126828,0.002869237,0.00823557,0.003812644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004971738,0.00001764729,0.0001424161,0.0002081181,0.0000274807,0.00008642481,0.0001014999,0.00003686537,0.00007494031,0.01569061,0.9465994,0.03696491],"study_design_scores_gemma":[0.00004789299,0.00002316733,0.0003510493,0.001208648,0.00003567063,0.0002695573,0.0002855337,0.00004242897,0.00005968336,0.04511652,0.9525314,0.0000282574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001563732,0.02281627,0.0005809708,0.8815577,0.06746815,0.000009494345,0.0001353378,0.00007595349,0.02719974],"genre_scores_gemma":[0.005632033,0.0199344,0.0008920196,0.8646131,0.08121021,0.00004775657,0.0001034015,0.0001218248,0.02744521],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04816212,"threshold_uncertainty_score":0.1611184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07062452989222519,"score_gpt":0.3241013405665733,"score_spread":0.2534768106743481,"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."}}