{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01831875,0.00247266,0.002827861,0.006851596,0.002340966,0.004144604,0.006326224,0.005122142,0.007302097],"category_scores_gemma":[0.05906242,0.002100333,0.003338946,0.005127717,0.00991395,0.007983348,0.003123524,0.005945354,0.00432819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004300429,"about_ca_system_score_gemma":0.003369606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00209913,"about_ca_topic_score_gemma":0.001289615,"domain_scores_codex":[0.988161,0.004031129,0.0006699216,0.00190663,0.004824496,0.0004068907],"domain_scores_gemma":[0.9486116,0.04057282,0.002356848,0.004452791,0.003480113,0.0005258172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002930486,0.00004676588,0.000855863,0.000406994,0.00005190629,0.0002343715,0.0002632158,0.09752918,0.001347137,0.8584255,0.002206285,0.03860349],"study_design_scores_gemma":[0.00001802473,0.00006882909,0.0002445167,0.0001904752,0.00002779515,0.0004275455,0.00005888814,0.2725285,0.001610819,0.7122966,0.01245513,0.00007287029],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009519572,0.001000265,0.9946603,0.0003304174,0.0001309601,0.00006272986,0.00003344121,0.0001679402,0.00266193],"genre_scores_gemma":[0.06837871,0.007288939,0.9048173,0.002102246,0.001420805,0.002321859,0.0004899729,0.000622764,0.0125574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01831875,"threshold_uncertainty_score":0.09688002,"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."}}