{"id":"W1963617813","doi":"10.5015/utmj.v87i3.1265","title":"An Interview with Dr. Tak W. Mak","year":2010,"lang":"en","type":"article","venue":"University of Toronto Medical Journal","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Carcinogenesis; Biology; Political science; Genetics; Cancer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.004292863,0.0007844798,0.0009061914,0.0008215451,0.01371517,0.003358264,0.00117634,0.009788816,0.02089271],"category_scores_gemma":[0.01470499,0.0006071173,0.0005065309,0.00114271,0.00226978,0.00530911,0.002935358,0.02465933,0.008400965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005221096,"about_ca_system_score_gemma":0.00672163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02102608,"about_ca_topic_score_gemma":0.04077666,"domain_scores_codex":[0.9979221,0.001002395,0.00007519223,0.0001768804,0.0003583863,0.0004650473],"domain_scores_gemma":[0.9915815,0.002172592,0.0003029352,0.00009783798,0.001702241,0.004142818],"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":[0.00002316822,0.00003940013,0.0004947262,0.00004249665,0.000002521605,0.0004596484,0.006169519,0.00001858649,0.0000755604,0.0006662756,0.9863652,0.005643005],"study_design_scores_gemma":[0.000023099,0.00007870683,0.00184009,0.0002131377,0.000005089089,0.001558841,0.05394147,0.00008193931,0.00008598836,0.0008337389,0.9412792,0.00005865999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.003224905,0.003244704,0.000173401,0.9713815,0.0142035,0.00005365225,0.0001620983,0.0000467345,0.00750935],"genre_scores_gemma":[0.01958343,0.004126314,0.0003857463,0.9224349,0.004987762,0.000228454,0.0001313039,0.00007365745,0.04804847],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02102608,"threshold_uncertainty_score":0.06989306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01928734798475217,"score_gpt":0.295564886160976,"score_spread":0.2762775381762239,"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."}}