{"id":"W4281716671","doi":"10.1200/jco.2022.40.16_suppl.e18704","title":"Life-cycle health technology assessment for precision oncology.","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Reimbursement; Stakeholder; Medicine; Health technology; Health care; Precision medicine; Stakeholder engagement; Disinvestment; Process management; Business; Political science; Public relations","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.08579328,0.001662338,0.001544739,0.006543368,0.001697571,0.008268634,0.003995605,0.004269651,0.1023748],"category_scores_gemma":[0.2197566,0.001009487,0.003447524,0.007731125,0.001914482,0.004805651,0.007756949,0.00482617,0.01688223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02779116,"about_ca_system_score_gemma":0.12431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1262182,"about_ca_topic_score_gemma":0.1428248,"domain_scores_codex":[0.928829,0.04334015,0.004738606,0.002460635,0.01864988,0.001981854],"domain_scores_gemma":[0.801821,0.1116523,0.009068577,0.009184361,0.06238546,0.005888375],"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":[0.00110972,0.0001365575,0.005033995,0.01510868,0.0006691974,0.0001093406,0.0005966187,0.0122193,0.0003505551,0.1125977,0.3790675,0.4730009],"study_design_scores_gemma":[0.0005080987,0.0002974829,0.005600799,0.01666678,0.0004317956,0.0001114754,0.0003347268,0.00951696,0.0008394719,0.06038682,0.9051802,0.0001254232],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004713365,0.04273263,0.2291643,0.1084039,0.003941083,0.02147863,0.1546039,0.008354336,0.4266079],"genre_scores_gemma":[0.1346166,0.03544063,0.6408799,0.02961874,0.001272151,0.02936772,0.08184294,0.002697689,0.04426366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1262182,"threshold_uncertainty_score":0.4537237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6760200642501228,"score_gpt":0.6437962333821428,"score_spread":0.03222383086798009,"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."}}