{"id":"W4410953661","doi":"10.1016/j.fertnstert.2025.05.168","title":"Recommendation to improve the rigor and impact of nonrandomized studies of interventions in fertility treatment research","year":2025,"lang":"en","type":"article","venue":"Fertility and Sterility","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Merck KGaA; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Merck Healthcare KGaA","keywords":"Fertility; Psychological intervention; Randomized controlled trial; Rigour; Medicine; Psychology; Gynecology; Environmental health; Internal medicine; Mathematics; Psychiatry; Population","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3461563,0.004607365,0.009749427,0.008231908,0.003548803,0.01295716,0.01432297,0.06201969,0.0281817],"category_scores_gemma":[0.7141962,0.006512101,0.02428091,0.008465284,0.01028268,0.02019925,0.008984787,0.03660733,0.02289771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01463345,"about_ca_system_score_gemma":0.0745226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01420598,"about_ca_topic_score_gemma":0.01960394,"domain_scores_codex":[0.5704352,0.2687361,0.08162825,0.01176532,0.0606686,0.006766508],"domain_scores_gemma":[0.1655572,0.5102986,0.06493597,0.0582517,0.1863571,0.01459945],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002482297,0.0005280193,0.001894338,0.1545572,0.00451274,0.0003988691,0.00172707,0.001903736,0.001256018,0.01970487,0.563233,0.2478019],"study_design_scores_gemma":[0.01023971,0.0006866398,0.004521796,0.343231,0.0053941,0.0003727939,0.0009394697,0.002339513,0.001751037,0.0312461,0.5986205,0.0006573082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002740578,0.06321011,0.07642444,0.6126568,0.06472275,0.1068004,0.01537354,0.004539221,0.05353216],"genre_scores_gemma":[0.01199343,0.03198335,0.4237351,0.4237645,0.007252289,0.08693434,0.003906612,0.001074684,0.009355769],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.6538437,"threshold_uncertainty_score":0.8063057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4673525755076959,"score_gpt":0.588457109762856,"score_spread":0.1211045342551602,"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."}}