{"id":"W4233941524","doi":"10.1038/72487","title":"Reply to “Genome Canada update”","year":2000,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Genome; Computational biology; Biology; Genetics; Gene","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":[0.0000519345,0.0001407735,0.0001282421,0.00004865642,0.00005913281,0.00001120505,0.0003506517,0.0006460224,0.0002115193],"category_scores_gemma":[0.000103834,0.0001440627,0.00003696912,0.0001709395,0.00004371018,8.383035e-7,0.0001070307,0.0003047578,0.00005464289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006489647,"about_ca_system_score_gemma":0.0002959842,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02306189,"about_ca_topic_score_gemma":0.1383018,"domain_scores_codex":[0.9990269,0.000009085638,0.0001404601,0.0004378869,0.00008593794,0.0002997293],"domain_scores_gemma":[0.9992172,0.000006618441,0.00002708944,0.000612227,0.00004065454,0.00009627221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002198749,0.00005856337,0.0003080654,0.00001030977,0.00008885195,0.0000671968,0.00001100268,0.000295664,0.4912444,0.002952876,0.4420364,0.06270677],"study_design_scores_gemma":[0.0001533596,0.0001124847,0.0006377997,0.000001825098,0.000005305309,0.00002586429,0.000006750232,0.000002149783,0.1431983,0.0000723445,0.8556237,0.0001601342],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566874,0.004214392,0.0001235978,0.03439471,0.0005136851,0.0002497944,0.0001989549,0.00005180014,0.003565704],"genre_scores_gemma":[0.9601807,0.0009459993,0.001115017,0.03587991,0.0003149807,0.00001621644,0.0001476513,0.0000258649,0.001373679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4135872,"threshold_uncertainty_score":0.9834436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001837031925307355,"score_gpt":0.1992938585282438,"score_spread":0.1974568266029364,"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."}}