{"id":"W2121226306","doi":"10.1016/j.jval.2011.02.603","title":"PIH18 THE IMPACT OF LONG-TERM DISABILITY COSTS ARISING FROM IN-VITRO FERTILIZATION (IVF) TREATMENT: THE COST-EFFECTIVENESS ANALYSIS OF REDUCING MULTIPLE BIRTHS","year":2011,"lang":"en","type":"article","venue":"Value in Health","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Demography; Fertility; Cost effectiveness; Cost–benefit analysis; Medicine; Live birth; Birth rate; Range (aeronautics); Statistics; Population; Mathematics; Pregnancy; Environmental health; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.007026113,0.0007609886,0.001523957,0.001409449,0.0002413156,0.001717848,0.0007491694,0.001455639,0.01057571],"category_scores_gemma":[0.02518591,0.0003954447,0.002392466,0.001634904,0.0005855221,0.001172505,0.0007515387,0.002349492,0.0002667008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003087319,"about_ca_system_score_gemma":0.003595097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007015675,"about_ca_topic_score_gemma":0.004816986,"domain_scores_codex":[0.9940308,0.004839679,0.0001358295,0.0001429947,0.000578912,0.0002718613],"domain_scores_gemma":[0.9876956,0.01076742,0.0006036881,0.0002248687,0.000423479,0.0002849103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02012349,0.001596186,0.05474883,0.005905761,0.0133004,0.001000945,0.0002230614,0.2614212,0.001017479,0.09668246,0.04870127,0.4952789],"study_design_scores_gemma":[0.0165453,0.01664029,0.1784533,0.004282478,0.02917168,0.002226367,0.001130167,0.4640986,0.004764835,0.1752729,0.1070449,0.0003691011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6286197,0.1057157,0.02914513,0.06870155,0.002889216,0.002030795,0.01976727,0.0002997058,0.1428308],"genre_scores_gemma":[0.9710966,0.01329333,0.004714045,0.001799641,0.0008580904,0.0003886294,0.001497841,0.0000364413,0.006315436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01057571,"threshold_uncertainty_score":0.03715807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4693579293730064,"score_gpt":0.4575737909097473,"score_spread":0.0117841384632591,"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."}}