{"id":"W2149251596","doi":"","title":"Age, body mass index, and number of previous trials: are they prognosticators of intra-uterine-insemination for infertility treatment?","year":2014,"lang":"en","type":"article","venue":"PubMed","topic":"Ovarian function and disorders","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Infertility; Body mass index; Statistical significance; Intrauterine insemination; Gynecology; Insemination; Pregnancy; Obstetrics; Pregnancy rate; Artificial insemination; Significant difference; Prospective cohort study; Internal medicine; Andrology; Sperm","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":[0.0006482121,0.0001020618,0.0004373696,0.00006475225,0.0000186748,0.000007575503,0.00002838816,0.00007760748,0.00002603929],"category_scores_gemma":[0.002825344,0.00007520108,0.00008724377,0.00007189559,0.000059739,0.00004548312,0.000009022518,0.00003281506,7.634206e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000281166,"about_ca_system_score_gemma":0.000021462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003231969,"about_ca_topic_score_gemma":0.00001461964,"domain_scores_codex":[0.9991189,0.00009158478,0.0003801021,0.0001612411,0.0001095134,0.0001386334],"domain_scores_gemma":[0.9990606,0.0003375532,0.0002377805,0.0001760501,0.00009594386,0.00009208952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001458521,0.0005158863,0.752597,0.0004637629,0.0001928762,8.657703e-7,0.0001932681,7.199739e-7,0.0001731619,0.0006508989,0.0002285935,0.2435244],"study_design_scores_gemma":[0.005221863,0.000198944,0.9866975,0.00002441511,0.0002381329,0.000003048601,0.00007475178,0.0001010597,0.001846239,0.001290547,0.004236432,0.00006708196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898317,0.00007404074,0.002534435,0.0004897329,0.0001647192,0.003139959,0.00003478127,0.00004173009,0.003688898],"genre_scores_gemma":[0.9982071,0.00003957308,0.000254134,0.00005317482,0.00005450029,0.001030757,0.00002724736,0.00001110716,0.0003223946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2434573,"threshold_uncertainty_score":0.3382405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03790234574809025,"score_gpt":0.3096520395712262,"score_spread":0.271749693823136,"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."}}