{"id":"W4311150526","doi":"10.51731/cjht.2022.523","title":"Atezolizumab (Tecentriq)","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Lung Cancer Research Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reimbursement; Atezolizumab; Carboplatin; Medicine; Intensive care medicine; Family medicine; Political science; Cancer; Surgery; Internal medicine; Chemotherapy; Health care; Law","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":[0.0006913359,0.0003416276,0.000277604,0.0008329421,0.0002277408,0.0007721022,0.0004255256,0.0006795828,0.01571107],"category_scores_gemma":[0.0009687504,0.00008381761,0.0005054356,0.0004572248,0.000226511,0.000433373,0.0003609156,0.0005591593,0.003952029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001276471,"about_ca_system_score_gemma":0.001975753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01147475,"about_ca_topic_score_gemma":0.02800167,"domain_scores_codex":[0.9996599,0.00005974207,0.00004037234,0.00004880695,0.0001482372,0.00004293537],"domain_scores_gemma":[0.9996433,0.00007634371,0.00009405324,0.00001125372,0.0001340068,0.00004094749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005905076,0.00007597631,0.00073464,0.003975236,0.00008428381,0.0001571919,0.00004057549,0.0001737371,0.00783198,0.003161584,0.1018898,0.8812844],"study_design_scores_gemma":[0.0003199512,0.0007395408,0.003004292,0.001493476,0.0001378154,0.0008216071,0.00003341693,0.0001022221,0.005400027,0.0002649124,0.9876696,0.0000132232],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01374232,0.7828659,0.00270568,0.007601571,0.002334289,0.0003885171,0.004027869,0.0004242202,0.1859097],"genre_scores_gemma":[0.1789549,0.5662766,0.008103583,0.01496572,0.001551083,0.0004005184,0.01032987,0.00008992954,0.2193279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01571107,"threshold_uncertainty_score":0.05255878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03731956278922668,"score_gpt":0.3405334726099894,"score_spread":0.3032139098207627,"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."}}