{"id":"W2998229904","doi":"10.1017/s0266462319001636","title":"OP135 CAR T-cell Therapy HTA Informs Australian Policy","year":2019,"lang":"en","type":"article","venue":"International Journal of Technology Assessment in Health Care","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Workforce; Adverse effect; European union; Revenue; Clinical trial; Business; Health technology; Finance; Health care; Economic growth; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0147734,0.0007645984,0.001010502,0.001661938,0.002601646,0.006976424,0.002564912,0.02134648,0.1054693],"category_scores_gemma":[0.03918028,0.0008696628,0.001674955,0.001150432,0.002688259,0.005036484,0.006023658,0.01177748,0.03350171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009752695,"about_ca_system_score_gemma":0.04659506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0534439,"about_ca_topic_score_gemma":0.03691987,"domain_scores_codex":[0.9847133,0.005461271,0.001081956,0.001101397,0.00525281,0.002389291],"domain_scores_gemma":[0.9689243,0.007698996,0.001496806,0.002199705,0.01270648,0.006973716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006865968,0.0001421395,0.0005193334,0.0006315723,0.00001817462,0.000359172,0.0005368346,0.0003140676,0.0006929357,0.03867417,0.8962002,0.06184274],"study_design_scores_gemma":[0.00001830569,0.00004100357,0.001079089,0.0003512478,0.000007963374,0.00006510438,0.0001201297,0.0001982214,0.0001251394,0.004010173,0.9939692,0.00001437926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002730533,0.007832129,0.002918073,0.657724,0.01248461,0.0009720571,0.002858907,0.0006932088,0.3117864],"genre_scores_gemma":[0.02974066,0.006589901,0.008729552,0.4971071,0.003525924,0.001053745,0.001477721,0.0002384005,0.451537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1054693,"threshold_uncertainty_score":0.3528301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01634135907494035,"score_gpt":0.4139313545501683,"score_spread":0.397589995475228,"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."}}