{"id":"W2171353359","doi":"10.1093/nar/gki109","title":"PartiGeneDB--collating partial genomes","year":2004,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"Hospital for Sick Children","keywords":"Genome; Biology; Annotation; Sequence (biology); Computational biology; Similarity (geometry); Gene; Computer science; Genetics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002028847,0.002194933,0.001633713,0.009035385,0.001584,0.004528888,0.003056558,0.001090005,0.02241607],"category_scores_gemma":[0.006475808,0.001618303,0.00163102,0.01070787,0.000446641,0.003390044,0.004896645,0.00137484,0.02244044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007596829,"about_ca_system_score_gemma":0.001979526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004074029,"about_ca_topic_score_gemma":0.004142945,"domain_scores_codex":[0.9987464,0.000180201,0.0001505047,0.0004436288,0.0003316748,0.0001475384],"domain_scores_gemma":[0.9975045,0.0005281072,0.0002162991,0.001002403,0.0004554049,0.0002932709],"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":[0.002227514,0.0001906186,0.009074794,0.004105922,0.0006691866,0.001103275,0.001274819,0.004490329,0.03070644,0.01360582,0.7671839,0.1653675],"study_design_scores_gemma":[0.0003356809,0.0001218672,0.009657286,0.0003819663,0.0002850591,0.00141682,0.0006717551,0.01517041,0.02061523,0.01541452,0.9357508,0.0001787785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.02156863,0.002361815,0.08647382,0.0004551054,0.0003915855,0.0004713006,0.7345608,0.1332889,0.02042789],"genre_scores_gemma":[0.01588796,0.0009726826,0.07888726,0.0001153346,0.00005706102,0.0002880396,0.8972408,0.004946926,0.001603922],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02241607,"threshold_uncertainty_score":0.0749892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04759311669503671,"score_gpt":0.3342140217493949,"score_spread":0.2866209050543582,"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."}}