{"id":"W7133013655","doi":"","title":"Genetic Counsellors' Preferences for Preimplantation Genetic Diagnosis: A Discrete Choice Experiment","year":2017,"lang":"","type":"dissertation","venue":"TSpace","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multinomial logistic regression; Ambiguity; Preference; Scope (computer science); CLARITY; Genetic testing; Logistic regression; Mixed logit","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007155281,0.0006149547,0.0009551257,0.0003520548,0.00176468,0.002168189,0.00121433,0.001974495,0.01691076],"category_scores_gemma":[0.01283408,0.0005318971,0.0005940925,0.0005621468,0.001339346,0.0006243876,0.0007245254,0.002734652,0.001389838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003704389,"about_ca_system_score_gemma":0.007210245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04984405,"about_ca_topic_score_gemma":0.0608552,"domain_scores_codex":[0.9964295,0.001430922,0.0001982181,0.000273669,0.0009531082,0.0007145227],"domain_scores_gemma":[0.9830911,0.0124084,0.001310903,0.0009252175,0.0008122862,0.001452066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.2133492,0.3884268,0.1110369,0.001617404,0.0005651303,0.001263602,0.03349781,0.01892835,0.05487576,0.02180419,0.02486048,0.1297744],"study_design_scores_gemma":[0.0906206,0.3459994,0.3209218,0.0005296804,0.001223874,0.0002331874,0.03471998,0.1154855,0.01813501,0.01844735,0.05291797,0.000765594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928377,0.00001813815,0.0002941953,0.0002128739,0.00002705129,0.002022737,0.000419882,0.000007973562,0.004159313],"genre_scores_gemma":[0.9655375,0.0001217245,0.005911546,0.000712955,0.00004884731,0.008641816,0.0004832445,0.000009458824,0.018533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04984405,"threshold_uncertainty_score":0.09910786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06455452119820791,"score_gpt":0.4107015999958092,"score_spread":0.3461470787976013,"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."}}