{"id":"W4213182357","doi":"10.1142/9789814335058_0024","title":"PERSONAL GENOMICS – Session Introduction","year":2010,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Session (web analytics); Personal genomics; Genomics; Computational biology; Computer science; Psychology; Biology; World Wide Web; Genetics; Genome; Gene","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001152609,0.0009127398,0.0008435557,0.0009862643,0.0009086611,0.002366398,0.001150867,0.001784217,0.6864879],"category_scores_gemma":[0.001261415,0.0005094031,0.0006492377,0.0009211685,0.0002654162,0.001666869,0.00185151,0.001950244,0.6286765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006127339,"about_ca_system_score_gemma":0.000708206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008102221,"about_ca_topic_score_gemma":0.002231852,"domain_scores_codex":[0.9995545,0.00006615666,0.00001041637,0.000123889,0.0001859305,0.00005918115],"domain_scores_gemma":[0.9994801,0.00009771299,0.00001515414,0.00009401923,0.0001429627,0.0001701095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004746524,0.00005566432,0.00008660032,0.00008030881,0.000003774547,0.00003305373,0.00003338953,0.00004720594,0.002286284,0.002866539,0.8969347,0.09752496],"study_design_scores_gemma":[0.000006973441,0.00001165634,0.0001908767,0.00002043083,0.000001866705,0.00004860117,0.00001211596,0.00003092568,0.0004191007,0.001253065,0.9979993,0.000005103747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009728728,0.003410332,0.01300003,0.005349922,0.005643547,0.0002557944,0.008999022,0.009154269,0.9532142],"genre_scores_gemma":[0.001470743,0.0009847031,0.00242254,0.001738137,0.0006227918,0.00009300093,0.003499679,0.00105066,0.9881176],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6864879,"threshold_uncertainty_score":0.447187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046033594198874,"score_gpt":0.2206501068032941,"score_spread":0.2101897708613053,"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."}}