{"id":"W2116886543","doi":"10.1093/nar/gki436","title":"TargetIdentifier: a webserver for identifying full-length cDNAs from EST sequences","year":2005,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Genome Canada","keywords":"Biology; Contig; Web server; Sequence (biology); Computational biology; Genetics; Coding region; Complementary DNA; Gene; Computer science; The Internet; World Wide Web; Genome","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":[0.001894912,0.004668281,0.002843829,0.005560359,0.001181421,0.00249979,0.003636306,0.002009735,0.1059716],"category_scores_gemma":[0.002824182,0.002339667,0.001877003,0.003229579,0.0003445358,0.003507901,0.002795077,0.002474294,0.1323462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006748684,"about_ca_system_score_gemma":0.0007818509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009040168,"about_ca_topic_score_gemma":0.001319536,"domain_scores_codex":[0.9990947,0.0001052432,0.0001282224,0.0002224761,0.0003025481,0.0001467293],"domain_scores_gemma":[0.9987183,0.000472586,0.0001809573,0.0002373731,0.000208063,0.0001827056],"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":[0.002699798,0.0003850667,0.003223198,0.003646414,0.0003667169,0.001626342,0.0004338803,0.0008638028,0.1430861,0.002419125,0.7208735,0.120376],"study_design_scores_gemma":[0.001039458,0.0005917673,0.01666605,0.0006225706,0.000312423,0.004788077,0.0003348343,0.01912985,0.2327909,0.007035078,0.7160932,0.0005958511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01097362,0.001616663,0.1321195,0.0003360727,0.0002801048,0.0006580492,0.3760702,0.4614257,0.01652012],"genre_scores_gemma":[0.01816762,0.001159435,0.1434323,0.0004253207,0.0001251798,0.001702964,0.7551612,0.05900189,0.02082405],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1059716,"threshold_uncertainty_score":0.3545104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07366308215151385,"score_gpt":0.3572402741053511,"score_spread":0.2835771919538373,"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."}}