{"id":"W2399828993","doi":"10.1093/humrep/dew082","title":"International Committee for Monitoring Assisted Reproductive Technologies world report: Assisted Reproductive Technology 2008, 2009 and 2010","year":2016,"lang":"en","type":"article","venue":"Human Reproduction","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":492,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada; Uppsala Universitet; World Health Organization; American Society for Reproductive Medicine","keywords":"Assisted reproductive technology; Population; Reproductive technology; Reproductive health; Medicine; Demography; Pregnancy; Environmental health; Biology; Infertility","routes":{"ca_aff":false,"ca_fund":true,"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":[0.02751008,0.000820934,0.001218069,0.005582625,0.0008256099,0.001836301,0.00271465,0.00112909,0.007361044],"category_scores_gemma":[0.04114534,0.0005806856,0.001023012,0.007938636,0.0005238723,0.0012511,0.001949314,0.001673136,0.004455973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003785317,"about_ca_system_score_gemma":0.01262021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03661008,"about_ca_topic_score_gemma":0.02275169,"domain_scores_codex":[0.9804224,0.004185687,0.004903631,0.001165208,0.008388299,0.0009347345],"domain_scores_gemma":[0.9133044,0.008102671,0.02118014,0.003421037,0.05087974,0.003112026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004925439,0.0001935725,0.3485689,0.003070121,0.0002636198,0.00006760112,0.00039175,0.0004820909,0.0005799936,0.002081531,0.5641578,0.07965035],"study_design_scores_gemma":[0.000145409,0.0002023163,0.6216003,0.003027028,0.0002461597,0.0001964757,0.000339396,0.0006290399,0.0011868,0.0002930431,0.37205,0.00008406626],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03519692,0.02415668,0.0152699,0.01927211,0.00527758,0.02296392,0.7531289,0.001510259,0.1232237],"genre_scores_gemma":[0.131733,0.03111012,0.0632086,0.01314438,0.0025509,0.05710432,0.6616856,0.0007472438,0.0387158],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03661008,"threshold_uncertainty_score":0.145489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06276838224212566,"score_gpt":0.351610421186615,"score_spread":0.2888420389444893,"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."}}