{"id":"W2045175397","doi":"10.1089/gte.2007.0057","title":"The Influence of Experiential Knowledge on Prenatal Screening and Testing Decisions","year":2008,"lang":"en","type":"article","venue":"Genetic Testing","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Children's Hospital of Eastern Ontario; University of Ottawa","funders":"","keywords":"Experiential learning; Prenatal screening; Context (archaeology); Embodied cognition; Experiential knowledge; Psychology; Genetic testing; Qualitative research; Value (mathematics); Medicine; Applied psychology; Prenatal diagnosis; Pregnancy; Epistemology; Computer science; Artificial intelligence; Pedagogy; Sociology","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":[0.008469312,0.0002422,0.0001783034,0.0006723375,0.001588313,0.003442694,0.000564865,0.0007250821,0.002540272],"category_scores_gemma":[0.0615639,0.0001994637,0.000180258,0.0003982055,0.006873357,0.001924759,0.002952899,0.001353147,0.0001083311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00192577,"about_ca_system_score_gemma":0.002409836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001940796,"about_ca_topic_score_gemma":0.001949091,"domain_scores_codex":[0.9853147,0.01160563,0.0002538995,0.0004089862,0.001433723,0.0009830549],"domain_scores_gemma":[0.8940544,0.09807199,0.003676862,0.001241822,0.001202669,0.001752299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0006286005,0.0005752768,0.08424754,0.0004860822,0.00009328256,0.003731098,0.7323999,0.002028683,0.003956807,0.03605684,0.0005747759,0.1352211],"study_design_scores_gemma":[0.0001217909,0.0006980856,0.1522593,0.001465905,0.0001983152,0.003865277,0.7336918,0.005234704,0.007447194,0.06691381,0.02792154,0.0001823343],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9614368,0.000490342,0.00412076,0.001641992,0.00001831364,0.00003854877,0.00001915179,0.000009419829,0.03222476],"genre_scores_gemma":[0.9992709,0.0001253414,0.0003300905,0.0000518995,0.000003986043,0.000009470947,0.00000328341,0.000001796736,0.0002033419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008469312,"threshold_uncertainty_score":0.04479057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06329573716192731,"score_gpt":0.2962395818875311,"score_spread":0.2329438447256038,"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."}}