{"id":"W2181785939","doi":"10.1016/j.rbmo.2015.09.004","title":"What's in a name? Variations in terminology of third-party reproduction","year":2015,"lang":"en","type":"article","venue":"Reproductive BioMedicine Online","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; McGill University","funders":"","keywords":"Terminology; Negotiation; Reproduction; Value (mathematics); Public relations; Political science; Sociology; Linguistics; Computer science; Biology; Social science; Ecology","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":[0.01246428,0.0007786123,0.001385592,0.003191641,0.003557043,0.006765848,0.002573114,0.004011248,0.004957957],"category_scores_gemma":[0.03567465,0.0003457596,0.001444807,0.004792933,0.0174507,0.005307415,0.003772079,0.01311622,0.005101713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003872741,"about_ca_system_score_gemma":0.004793897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004582356,"about_ca_topic_score_gemma":0.00416092,"domain_scores_codex":[0.9807212,0.01089873,0.003640078,0.001178332,0.002302639,0.00125898],"domain_scores_gemma":[0.9784483,0.01220428,0.002020405,0.001981602,0.004358457,0.0009869121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002832205,0.00005099423,0.001804499,0.001287096,0.00005797778,0.0007573763,0.02258568,0.000268616,0.003099449,0.6019062,0.239507,0.1283919],"study_design_scores_gemma":[0.00001716567,0.00006293521,0.001428261,0.001617041,0.00005028871,0.002473965,0.004957433,0.0002689609,0.001388812,0.03539811,0.9522513,0.00008570157],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02414546,0.09907697,0.1403714,0.3267807,0.1544071,0.0002343467,0.001370249,0.001845313,0.2517684],"genre_scores_gemma":[0.4405395,0.08501848,0.102933,0.2382182,0.06372586,0.001016934,0.002183146,0.005652424,0.06071241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01246428,"threshold_uncertainty_score":0.06591821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07130751941987835,"score_gpt":0.3716514964493188,"score_spread":0.3003439770294404,"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."}}