{"id":"W2111064770","doi":"10.1186/gb-2013-14-10-r116","title":"Open-Phylo: a customizable crowd-computing platform for multiple sequence alignment","year":2013,"lang":"en","type":"article","venue":"Genome biology","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Genome Canada","keywords":"Biology; Human genetics; Crowd sourcing; Genome Biology; Sequence (biology); Computational biology; Open source; Sequence alignment; Genetics; Bioinformatics; Evolutionary biology; Genomics; Data science; Computer science; Genome; Peptide sequence; Software; Gene; Programming language","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":[0.002762042,0.001167931,0.0008601131,0.001370988,0.001340543,0.001654413,0.0036261,0.001716725,0.01222032],"category_scores_gemma":[0.007297322,0.0009398884,0.001428793,0.001012719,0.001204916,0.002360231,0.005046946,0.002807936,0.005785362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000874561,"about_ca_system_score_gemma":0.001662943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003927009,"about_ca_topic_score_gemma":0.005048663,"domain_scores_codex":[0.9986772,0.0002641721,0.0001119767,0.0003081227,0.000463598,0.0001748926],"domain_scores_gemma":[0.9973444,0.001082524,0.0002194447,0.0005687443,0.0002027736,0.0005820562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005936892,0.001778055,0.01162588,0.002252159,0.0008126179,0.003167834,0.003373404,0.07137595,0.1542605,0.07305777,0.374321,0.2980379],"study_design_scores_gemma":[0.0009937385,0.0003427221,0.005002878,0.0002418989,0.00011327,0.0008113009,0.0003586593,0.4277389,0.05332746,0.08233193,0.4281963,0.0005410282],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02286155,0.0004570748,0.6881744,0.001043635,0.0008567682,0.001540014,0.0111436,0.2610744,0.01284861],"genre_scores_gemma":[0.1701993,0.0006703816,0.755887,0.001236942,0.000251522,0.003703191,0.02560944,0.02739064,0.01505156],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01222032,"threshold_uncertainty_score":0.04088104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2530744704041838,"score_gpt":0.413958299839467,"score_spread":0.1608838294352832,"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."}}