{"id":"W4387021937","doi":"10.4103/crst.crst_266_23","title":"Genetic counselling in India: The state of affairs","year":2023,"lang":"en","type":"article","venue":"Cancer Research Statistics and Treatment","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genetic counseling; Genetic testing; Checklist; Population; Family medicine; Medicine; Psychology; Genetics; Biology; Environmental health; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001553823,0.00006990531,0.00008343287,0.00006395814,0.00007466913,0.00001816316,0.00007042679,0.00002111897,0.000006483558],"category_scores_gemma":[0.00001604718,0.00004675975,0.00001742983,0.0001454575,0.0001378757,7.127221e-7,0.00003393268,0.00004176654,0.000003533475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002504733,"about_ca_system_score_gemma":0.0001498601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003247619,"about_ca_topic_score_gemma":0.0003885146,"domain_scores_codex":[0.9993101,0.00005537161,0.000112679,0.0001719923,0.0001264415,0.0002234422],"domain_scores_gemma":[0.9996349,0.00006144063,0.00002474447,0.0001455812,0.000076354,0.00005697768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001344552,0.001084066,0.08204266,0.000561493,0.001347263,0.001364758,0.007697229,0.02518398,0.1290945,0.004361076,0.02132878,0.7245896],"study_design_scores_gemma":[0.00735352,0.005034072,0.8021592,0.000201258,0.0001483444,0.00002675274,0.003787127,0.008270001,0.05760395,0.03023066,0.08418144,0.00100372],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993328,0.004912371,0.0001564039,0.00005796109,0.00003536611,0.0002466933,0.001208101,0.000002226464,0.00005291752],"genre_scores_gemma":[0.9434556,0.05593095,0.0001228727,0.000007151901,0.00002757358,0.0001101975,0.00009578427,0.000008200024,0.000241687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.723586,"threshold_uncertainty_score":0.1906807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03187440506810624,"score_gpt":0.3545099978889446,"score_spread":0.3226355928208383,"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."}}