{"id":"W7055446758","doi":"","title":"COST-EFFECTIVENESS ANALYSIS OF PLERIXAFOR FOR STEM CELL MOBILIZATION FOR POOR MOBILIZERS IN CANADA","year":2012,"lang":"en","type":"article","venue":"Oxford University Research Archive (ORA) (University of Oxford)","topic":"Thermal properties of materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Plerixafor; Stem cell; Mobilization; Clinical trial","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":[0.002171374,0.0008422168,0.001183588,0.001576006,0.0009702399,0.002030803,0.001644894,0.001032787,0.005056356],"category_scores_gemma":[0.007775425,0.000472286,0.002572459,0.002148131,0.0008935325,0.0005242035,0.0009556395,0.001087096,0.0001924116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08329631,"about_ca_system_score_gemma":0.06159752,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9089656,"about_ca_topic_score_gemma":0.9185817,"domain_scores_codex":[0.9971975,0.0008383341,0.0001402002,0.0001917421,0.0007270796,0.0009052337],"domain_scores_gemma":[0.9955694,0.001544627,0.0006709907,0.00007496969,0.000860445,0.001279492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.1929895,0.00618947,0.20796,0.006409328,0.008171169,0.001496023,0.0008676203,0.1794779,0.006645361,0.01075291,0.01623905,0.3628016],"study_design_scores_gemma":[0.03065121,0.06293234,0.6904524,0.002306386,0.02186715,0.001359754,0.004971724,0.1556397,0.005653944,0.002125176,0.02143102,0.000609105],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787841,0.007369042,0.0009791802,0.002402593,0.0000592125,0.001035076,0.003364009,0.0000610631,0.005945628],"genre_scores_gemma":[0.995532,0.001767369,0.0006265682,0.0002333033,0.0000164428,0.0001315401,0.0005846269,0.000008436807,0.001099528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09103441,"threshold_uncertainty_score":0.6043599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05604681507899507,"score_gpt":0.2767555657768608,"score_spread":0.2207087506978658,"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."}}