{"id":"W4303628415","doi":"10.3390/curroncol29100572","title":"Precision Oncology in Canada: Converting Vision to Reality with Lessons from International Programs","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Roche (Canada); Ontario Institute for Cancer Research; University of Calgary; Canada Research Chairs; Princess Margaret Cancer Centre; Canadian Cancer Society; University Health Network; University of Toronto; Queen's University; Alberta Health Services","funders":"Roche Canada","keywords":"Harmonization; Precision medicine; Personalized medicine; Healthcare system; Medicine; Health care; Informatics; Health informatics; Health technology; Oncology; Political science; Bioinformatics; Pathology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.04961573,0.0009510747,0.002181069,0.01085703,0.005961413,0.01702283,0.003113335,0.00371038,0.004803596],"category_scores_gemma":[0.1304145,0.0005335309,0.001440293,0.02544078,0.01047863,0.008666145,0.00580426,0.007661795,0.0004576255],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.199545,"about_ca_system_score_gemma":0.4462002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9818887,"about_ca_topic_score_gemma":0.9858776,"domain_scores_codex":[0.9711079,0.009499283,0.002583864,0.00164535,0.01154992,0.003613731],"domain_scores_gemma":[0.8519952,0.06331123,0.004429183,0.003835785,0.06807864,0.008350065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002935549,0.00007993012,0.01463055,0.01571539,0.0006426082,0.0007938676,0.01022255,0.004532173,0.0003401486,0.3429707,0.2471023,0.3626761],"study_design_scores_gemma":[0.0001247039,0.000094524,0.0282534,0.05277324,0.0008707336,0.000356729,0.02574819,0.002579669,0.0005302108,0.09472431,0.7936094,0.0003349515],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.007560556,0.2850006,0.005847867,0.6554624,0.003437479,0.000175962,0.002821654,0.0001142123,0.03957931],"genre_scores_gemma":[0.3116458,0.511036,0.03860554,0.1262897,0.00259362,0.0005029271,0.00317561,0.000257093,0.005893608],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.800455,"threshold_uncertainty_score":0.9284143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.580013976410766,"score_gpt":0.5380696398731057,"score_spread":0.04194433653766028,"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."}}