{"id":"W4200020429","doi":"10.1080/14647273.2021.2017025","title":"Inequalities in assisted reproduction technology utilisation between the G20 countries","year":2021,"lang":"en","type":"article","venue":"Human Fertility","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Micropharma (Canada)","funders":"","keywords":"Inequality; Per capita; Gross domestic product; Reproduction; Assisted reproductive technology; Economics; Socioeconomic status; Index (typography); Product (mathematics); Economic growth; Development economics; Demographic economics; Sociology; Demography; Population; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009015718,0.0001203644,0.0003085101,0.0001719322,0.0002112236,0.0000184317,0.00009554452,0.00018722,0.00006002602],"category_scores_gemma":[0.002633041,0.00008944896,0.00004486465,0.0006212448,0.0004466661,0.0000905835,0.00008133028,0.0004289307,0.00001574785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001700197,"about_ca_system_score_gemma":0.0001588337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001014812,"about_ca_topic_score_gemma":0.0001536767,"domain_scores_codex":[0.998412,0.0001351703,0.0004421346,0.0005489117,0.0002084712,0.0002533883],"domain_scores_gemma":[0.9983368,0.00008708196,0.000102624,0.001150023,0.0002930077,0.00003044242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000945732,0.00009556815,0.9837016,0.0001898976,0.0000165178,0.00001260764,0.0003041551,2.239331e-7,0.001637815,0.005783432,0.0001796532,0.007983985],"study_design_scores_gemma":[0.0003609598,0.00007901411,0.9323899,0.00004069812,0.00002271977,0.00001820915,0.001385629,0.000001431896,0.03956546,0.0216679,0.00439926,0.00006887335],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727299,0.001330798,0.00003055129,0.02367174,0.0001094271,0.000383916,0.000004612537,0.0003284385,0.00141063],"genre_scores_gemma":[0.9990122,0.00002844016,0.0001039011,0.0001438311,0.0001194646,0.00006630592,0.00004901594,0.0000095597,0.0004672716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05131172,"threshold_uncertainty_score":0.3647622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1125606442555,"score_gpt":0.3632701810132127,"score_spread":0.2507095367577127,"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."}}