{"id":"W2026706338","doi":"10.1016/j.fertnstert.2004.04.024","title":"Towards less confusing terminology in reproductive medicine: a proposal","year":2004,"lang":"en","type":"article","venue":"Fertility and Sterility","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Dalhousie University","funders":"","keywords":"Terminology; Fertility; Infertility; Grading (engineering); Fecundity; Medicine; Gynecology; Fertility preservation; Reproductive medicine; Term (time); Psychology; Intensive care medicine; Family medicine; Population; Philosophy; Biology; Pregnancy; Environmental health","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":[0.0008152394,0.0001703401,0.0005215477,0.000124001,0.00008498014,0.000007198073,0.0000748963,0.0001792313,0.00002015454],"category_scores_gemma":[0.001341584,0.0001288785,0.00003317918,0.000225471,0.001056662,0.0001124701,0.0001034879,0.0003834375,0.000002874292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001589277,"about_ca_system_score_gemma":0.0003050123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001789537,"about_ca_topic_score_gemma":0.000290802,"domain_scores_codex":[0.9981705,0.00009009895,0.0004177154,0.0008203591,0.0001585565,0.000342767],"domain_scores_gemma":[0.9989753,0.00002408192,0.00007106691,0.0006967955,0.0001281253,0.0001046495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05906985,0.001454285,0.5361941,0.002572025,0.00008128506,0.0003822985,0.008618378,0.000002847674,0.01463539,0.002670659,0.00004013481,0.3742788],"study_design_scores_gemma":[0.00159282,0.0005657601,0.9623832,0.0001126378,0.00001613136,0.00009022751,0.0009137869,0.000006215485,0.005221513,0.0287111,0.0002889319,0.00009770053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746984,0.0007409899,0.0001485742,0.0213563,0.0001871987,0.0007734604,0.00000481405,0.0001442333,0.001946079],"genre_scores_gemma":[0.9986808,0.00004217248,0.0008266968,0.0002884254,0.00007154731,0.00003598666,0.00000708415,0.000007374587,0.00003986896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4261891,"threshold_uncertainty_score":0.5255514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06579245925208686,"score_gpt":0.3432143942409551,"score_spread":0.2774219349888682,"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."}}