{"id":"W2586879642","doi":"10.1080/10304312.2017.1275078","title":"Fit or fitting in: deciding against normal when reproducing the future","year":2017,"lang":"en","type":"article","venue":"Continuum","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Medical Research Council; National Health and Medical Research Council","keywords":"Normative; Judgement; Prejudice (legal term); Standard deviation; Diversity (politics); Reproduction; Norm (philosophy); Term (time); Multitude; Gamete; Value (mathematics); Psychology; Social psychology; Sociology; Epistemology; Law; Statistics; Political science; Mathematics; Medicine; Philosophy; Biology","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":[0.00102906,0.0001317806,0.0002767168,0.00007370299,0.0005480237,0.00008008755,0.0003457996,0.0001160043,0.00003032819],"category_scores_gemma":[0.005144538,0.0000766017,0.00005725784,0.00007735308,0.0001394178,0.0001824959,0.0002111454,0.000483147,0.00002248759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004819487,"about_ca_system_score_gemma":0.000098229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005043991,"about_ca_topic_score_gemma":0.0002779548,"domain_scores_codex":[0.9986523,0.00002813183,0.0002868285,0.0004920635,0.0001495449,0.00039114],"domain_scores_gemma":[0.9977711,0.0000822961,0.0002271856,0.00176169,0.0001003382,0.00005741336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003321181,0.00005103316,0.519242,0.0001661632,0.00002995596,0.0002640331,0.001435691,8.933177e-7,0.003784108,0.000218192,0.01610674,0.458369],"study_design_scores_gemma":[0.001436948,0.0001389592,0.7752669,0.0004737132,0.00002703512,0.00009269355,0.002154072,0.00004982281,0.01570328,0.0005317387,0.2039294,0.0001954048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9463211,0.001517226,0.00001661694,0.04003562,0.0008406856,0.0004892776,0.000001017329,0.0001380172,0.01064042],"genre_scores_gemma":[0.9918255,0.0002049865,0.001105879,0.00072099,0.001919955,0.00003669878,0.000001885283,0.00001821872,0.004165903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4581736,"threshold_uncertainty_score":0.6158864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05810866449130941,"score_gpt":0.3410879866710275,"score_spread":0.2829793221797181,"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."}}