{"id":"W4403222432","doi":"10.1055/s-0044-1791702","title":"Helping Patients to Predict and Confirm Ovulation with the Use of Combined Urinary Hormonal and Smartphone Technology: A Proof-of-Concept Retrospective Descriptive Case Series","year":2024,"lang":"en","type":"review","venue":"Seminars in Reproductive Medicine","topic":"Ovarian function and disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruyère; University of Ottawa","funders":"","keywords":"Infertility; Fertility; Ovulation; Medicine; Gynecology; Luteal phase; Obstetrics; Anovulation; Reproductive technology; Pregnancy; Hormone; Population; Internal medicine; Biology; Polycystic ovary","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":[0.001380943,0.0005855623,0.0009402982,0.001276024,0.0004084572,0.0008292671,0.0006970635,0.001272145,0.001884439],"category_scores_gemma":[0.007020346,0.0003796731,0.0007259211,0.0009462954,0.000494839,0.0007639297,0.0004672267,0.0007160024,0.0007006918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004200421,"about_ca_system_score_gemma":0.00111773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005785964,"about_ca_topic_score_gemma":0.001185999,"domain_scores_codex":[0.9988297,0.0003878441,0.0003214954,0.0001075595,0.000258867,0.00009464595],"domain_scores_gemma":[0.9974431,0.00151255,0.0004966374,0.0001377658,0.0002933116,0.0001166474],"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":[0.001053626,0.001659087,0.09637334,0.05751181,0.001274171,0.3273409,0.003925843,0.0006768544,0.006091853,0.002696068,0.01884911,0.4825473],"study_design_scores_gemma":[0.0002329422,0.002245625,0.03508839,0.01124332,0.001663991,0.8443515,0.002518666,0.0004219535,0.003055843,0.001047847,0.09800191,0.0001279127],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1734954,0.8084972,0.005345366,0.001818479,0.0006834402,0.00154694,0.0006533857,0.0000644622,0.007895296],"genre_scores_gemma":[0.6128405,0.3756117,0.005100097,0.002258566,0.0007666688,0.0006932194,0.0005530849,0.00003388793,0.002142202],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001884439,"threshold_uncertainty_score":0.007303178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04248615043649525,"score_gpt":0.2904850305743524,"score_spread":0.2479988801378572,"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."}}