{"id":"W3201278992","doi":"10.1016/j.fertnstert.2021.07.073","title":"GEOGRAPHICAL DIFFERENCES IN DEMOGRAPHICS AND FERTILITY HISTORIES OF MEN PRESENTING FOR INFERTILITY EVALUATION BETWEEN THE UNITED STATES AND CANADA: RESULTS FROM THE ANDROLOGY RESEARCH CONSORTIUM","year":2021,"lang":"en","type":"article","venue":"Fertility and Sterility","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital; University of Toronto","funders":"","keywords":"Fertility; Medicine; Demographics; Vasectomy; Infertility; Demography; Semen analysis; Gynecology; Assisted reproductive technology; Male infertility; Population; Family planning; Biology; Pregnancy; Research methodology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006252805,0.0002199033,0.0003823249,0.001894315,0.002250626,0.001129818,0.001033414,0.0005164034,0.002663034],"category_scores_gemma":[0.00341499,0.0003520444,0.0007343153,0.005076565,0.0008012234,0.0005126707,0.001153168,0.0006354138,0.0002417778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007634504,"about_ca_system_score_gemma":0.01082725,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9705033,"about_ca_topic_score_gemma":0.9832358,"domain_scores_codex":[0.9990352,0.000105823,0.00008460623,0.0001280217,0.000319747,0.0003266258],"domain_scores_gemma":[0.9971793,0.0002383446,0.0007075433,0.00007689629,0.001102298,0.0006956511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002771228,0.00001657624,0.9980035,0.000007902408,0.00003264312,0.00003659647,0.0005369561,0.00002794602,0.00003455711,0.00003885341,0.0002512368,0.0009854492],"study_design_scores_gemma":[0.000001942097,0.000007331609,0.9979166,0.000008801211,0.00001039533,0.00004526638,0.001705942,0.0000362562,0.00001287767,0.00000912095,0.0002411797,0.00000438346],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943014,0.0004852925,0.00005792351,0.0002482847,0.000008862929,0.00003224971,0.002685245,0.000004168138,0.002176532],"genre_scores_gemma":[0.9972312,0.0004045802,0.00007836423,0.0001113746,0.000006469366,0.0000104722,0.001640006,0.000005153315,0.0005124232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02949673,"threshold_uncertainty_score":0.05934083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.150301426046292,"score_gpt":0.3701111521804583,"score_spread":0.2198097261341664,"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."}}