{"id":"W1995622802","doi":"10.1101/gr.133901","title":"Theories and Applications for Sequencing Randomly Selected Clones","year":2001,"lang":"en","type":"article","venue":"Genome Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia","funders":"National Human Genome Research Institute","keywords":"Contig; Biology; clone (Java method); Genetics; Genome; Computational biology; Deep sequencing; Bacterial artificial chromosome; Redundancy (engineering); Human genome; DNA sequencing; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005363569,0.00007941209,0.0001007651,0.00005331692,0.0003440211,0.00003427559,0.0001232166,0.00006182138,0.00000622768],"category_scores_gemma":[0.00009568355,0.0000719466,0.00002951994,0.0001711385,0.000153445,3.953876e-7,0.0001191512,0.00006211711,0.000003304655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001473875,"about_ca_system_score_gemma":0.00009479027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001872935,"about_ca_topic_score_gemma":0.00003543411,"domain_scores_codex":[0.9991634,0.00005570504,0.0001068161,0.0002686513,0.00009254498,0.0003128651],"domain_scores_gemma":[0.9993127,0.00007206954,0.00001848465,0.0001986587,0.0003375799,0.0000605052],"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":[0.0001571435,0.00001205801,0.002133247,0.00002332836,0.0000557155,4.95239e-7,0.0001211973,0.00001652035,0.9917578,0.00212508,0.0001132599,0.00348413],"study_design_scores_gemma":[0.002313617,0.0007849582,0.01236472,0.000006318426,0.00002455443,0.00005090522,0.001141199,0.00003915683,0.06093379,0.01658795,0.9053956,0.0003572202],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845709,0.007124188,0.005465908,0.0002288585,0.00002114204,0.0008707502,0.00005449855,0.000003744837,0.001660057],"genre_scores_gemma":[0.993764,0.003151908,0.0009910034,0.00002983168,0.0003695314,0.0005123263,0.00005068535,0.00001629166,0.001114375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.930824,"threshold_uncertainty_score":0.2933897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04294301453638576,"score_gpt":0.3374894772006661,"score_spread":0.2945464626642804,"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."}}