{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003094591,0.0003342878,0.0005462882,0.003006136,0.001906215,0.004317256,0.00175415,0.002047928,0.009016035],"category_scores_gemma":[0.007505159,0.0003016651,0.0005181081,0.007292981,0.003077502,0.002086526,0.001909335,0.003255368,0.0009295877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006239497,"about_ca_system_score_gemma":0.02144348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0479873,"about_ca_topic_score_gemma":0.04251916,"domain_scores_codex":[0.997057,0.0007225114,0.0002996199,0.000456581,0.001057541,0.000406823],"domain_scores_gemma":[0.9919574,0.004611623,0.0007402968,0.0002423904,0.001439504,0.001008873],"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":[0.0001044872,0.0001035755,0.01110677,0.007811615,0.00006710492,0.004915244,0.003120119,0.0005808286,0.0003537319,0.04175265,0.1661266,0.7639573],"study_design_scores_gemma":[0.00003023169,0.00009198367,0.03281754,0.02212851,0.0001451028,0.01779054,0.01086556,0.0002586785,0.0003248552,0.01341496,0.9019803,0.0001516913],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01423272,0.683304,0.0005758181,0.2588809,0.003160522,0.00003659283,0.001082582,0.000145632,0.03858126],"genre_scores_gemma":[0.1130456,0.8251169,0.0012264,0.053776,0.004043622,0.00004520034,0.0009069401,0.00005484597,0.001784395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0479873,"threshold_uncertainty_score":0.09541601,"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."}}