{"id":"W2053067254","doi":"10.1016/s1472-6483(10)60185-x","title":"Anonymous semen donor recruitment without reimbursement in Canada","year":2008,"lang":"en","type":"article","venue":"Reproductive BioMedicine Online","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Donation; Reimbursement; Context (archaeology); Demography; Demographics; Semen; Family medicine; Medicine; Population; Marital status; Sperm bank; Gynecology; Fertility; Environmental health; Biology; Political science; Andrology; Health care","routes":{"ca_aff":false,"ca_fund":false,"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":[0.01045852,0.0002552548,0.0006428761,0.001910749,0.009212407,0.004019215,0.002821107,0.002265284,0.01901185],"category_scores_gemma":[0.01526815,0.0008254923,0.0005681233,0.002934239,0.001926843,0.0009137418,0.002752792,0.002149499,0.00117249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06273393,"about_ca_system_score_gemma":0.2981076,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9837984,"about_ca_topic_score_gemma":0.9948584,"domain_scores_codex":[0.9902615,0.001875502,0.0003456299,0.0006529557,0.002810459,0.004053861],"domain_scores_gemma":[0.9793169,0.003221489,0.001103635,0.0006563322,0.00557954,0.0101222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001626365,0.001273427,0.2921341,0.0007269143,0.0001185298,0.003197819,0.008090035,0.00171808,0.001362263,0.05025579,0.2890337,0.350463],"study_design_scores_gemma":[0.001182302,0.0006522766,0.6421446,0.001214863,0.0001601779,0.001721845,0.0152977,0.00677052,0.001810133,0.00486777,0.3239503,0.0002275818],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6865397,0.01044278,0.005845011,0.1067111,0.002082693,0.004705602,0.007669706,0.0005720858,0.1754312],"genre_scores_gemma":[0.8052144,0.006217854,0.007744254,0.02467399,0.0003205358,0.0009309101,0.001845503,0.000146596,0.1529059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06273393,"threshold_uncertainty_score":0.4551686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1011709950567458,"score_gpt":0.341163745873123,"score_spread":0.2399927508163772,"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."}}