{"id":"W1904872924","doi":"10.1002/0471250953.bi0912s31","title":"Using the Generic Synteny Browser (GBrowse_syn)","year":2010,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Human Genome Research Institute; National Institutes of Health","keywords":"Synteny; Computer science; Biology; Genetics; Gene; Genome","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":[0.003842257,0.002783662,0.002283287,0.004986666,0.00119026,0.00292728,0.003350503,0.002121667,0.08306218],"category_scores_gemma":[0.004326419,0.002317199,0.002239722,0.005865769,0.0005131231,0.004996582,0.004698765,0.002817576,0.1167802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005474208,"about_ca_system_score_gemma":0.001526806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004066003,"about_ca_topic_score_gemma":0.005331242,"domain_scores_codex":[0.9974793,0.0004644718,0.0003029275,0.0008709079,0.0006363069,0.0002461083],"domain_scores_gemma":[0.9985899,0.0002411616,0.0002052127,0.0005422432,0.000258461,0.0001629277],"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":[0.0009785085,0.0001355612,0.002692784,0.003303398,0.0006204487,0.0004661867,0.0006292164,0.0006554285,0.09123407,0.006033523,0.7319775,0.1612734],"study_design_scores_gemma":[0.0001053271,0.00005431578,0.003308529,0.0002327841,0.0001171863,0.0007767392,0.0001078816,0.00155096,0.02135471,0.003408639,0.9688361,0.0001468366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01069278,0.005771821,0.4055299,0.001049022,0.001138604,0.0009190807,0.2544708,0.2885931,0.03183487],"genre_scores_gemma":[0.01546197,0.003527393,0.5382232,0.0008725857,0.0001708202,0.001827852,0.3706311,0.04318263,0.02610248],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08306218,"threshold_uncertainty_score":0.2778707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09153211497302881,"score_gpt":0.3662461542577841,"score_spread":0.2747140392847553,"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."}}