{"id":"W2150113577","doi":"10.1093/humrep/deu067","title":"Universal coverage of IVF pays off","year":2014,"lang":"en","type":"article","venue":"Human Reproduction","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research; McGill University","keywords":"Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000413884,0.00008827199,0.0002196459,0.000146501,0.00008511773,0.000003559963,0.00005431601,0.0000752507,0.00007819938],"category_scores_gemma":[0.0004971626,0.00007812005,0.00005335586,0.0001793159,0.0001450553,0.00006147948,0.00002992616,0.0001609819,0.00002389845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005863013,"about_ca_system_score_gemma":0.00002928655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004383041,"about_ca_topic_score_gemma":0.000003127795,"domain_scores_codex":[0.9989557,0.00003597674,0.0002175433,0.0004739423,0.0001661705,0.0001506622],"domain_scores_gemma":[0.9987492,0.00001168226,0.0001336248,0.0009004328,0.0001615269,0.00004354915],"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":[0.0005725803,0.0006903658,0.06981587,0.0008746691,0.0001082162,0.00001608225,0.0004998065,0.00005713522,0.2699701,0.09465484,0.007050426,0.5556899],"study_design_scores_gemma":[0.001985473,0.002084302,0.3396232,0.00009668842,0.0001149765,0.0001874183,0.0002724101,0.00003619969,0.2696278,0.01510466,0.3706033,0.0002635441],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754683,0.0002468051,0.0003050166,0.001518826,0.0002837815,0.0002867223,8.317338e-7,0.0002325814,0.02165713],"genre_scores_gemma":[0.9968941,0.0001602606,0.0003332381,0.00004229842,0.000497466,0.000005956427,0.00001414733,0.00001302467,0.00203957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5554264,"threshold_uncertainty_score":0.3185643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02630114905748869,"score_gpt":0.2936525693934675,"score_spread":0.2673514203359788,"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."}}