{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005731966,0.0001727141,0.0002778767,0.001201257,0.0004185532,0.0009481523,0.0002306032,0.0003147688,0.003690875],"category_scores_gemma":[0.00207374,0.0001225084,0.0004225522,0.002778658,0.0005599118,0.0006222169,0.001290896,0.00042028,0.0002282099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000850099,"about_ca_system_score_gemma":0.0006672073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04090456,"about_ca_topic_score_gemma":0.04411695,"domain_scores_codex":[0.9993117,0.0001577978,0.0000718696,0.0001096418,0.00007518292,0.0002738329],"domain_scores_gemma":[0.9991424,0.0001968271,0.0003826066,0.00004941416,0.00007129279,0.0001574621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003195017,0.00006304091,0.9331179,0.0003652356,0.0003407695,0.0006311488,0.004900697,0.0007887705,0.0005863925,0.00940135,0.002948427,0.04653669],"study_design_scores_gemma":[0.000009608668,0.00004950561,0.9928939,0.0002120728,0.00002941629,0.0002461401,0.001378066,0.0001339049,0.00006795976,0.000420289,0.004547002,0.00001206492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826637,0.005234618,0.0001596795,0.0007570777,0.00003233806,0.00002256,0.002597176,0.000009963213,0.008522918],"genre_scores_gemma":[0.997139,0.001276258,0.000108518,0.000124408,0.00001063079,0.00001580314,0.0008556778,0.000004016921,0.0004658224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04090456,"threshold_uncertainty_score":0.08133292,"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."}}