{"id":"W1966380925","doi":"10.1101/gr.095612.109","title":"GenGIS: A geospatial information system for genomic data","year":2009,"lang":"en","type":"article","venue":"Genome Research","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Dalhousie University; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Genome Atlantic; Auckland University of Technology, New Zealand","keywords":"Geospatial analysis; Metagenomics; Biology; Cluster analysis; Software; Spatial analysis; Data mining; Data science; Geographic information system; Computational biology; Computer science; Cartography; Geography; Genetics","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":[0.00430269,0.001426217,0.001867241,0.00600643,0.0007373812,0.003288041,0.002773708,0.00120092,0.05987724],"category_scores_gemma":[0.01394276,0.00131871,0.001341211,0.008142139,0.0006837391,0.003773777,0.003604228,0.00253064,0.02174679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009211571,"about_ca_system_score_gemma":0.003582974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005057462,"about_ca_topic_score_gemma":0.003707733,"domain_scores_codex":[0.9980338,0.0004127631,0.0004661042,0.0003167615,0.0006476846,0.0001228123],"domain_scores_gemma":[0.9949038,0.002336038,0.0005400901,0.0007560175,0.001104494,0.0003595085],"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":[0.0008398953,0.0001822716,0.004946638,0.002282586,0.0003560396,0.0007884189,0.00153786,0.01052698,0.005136019,0.02190098,0.7596951,0.1918073],"study_design_scores_gemma":[0.0006080756,0.0001059586,0.007035574,0.0005742444,0.0001637011,0.0008077078,0.0007074469,0.04313936,0.007909256,0.0543295,0.8843067,0.0003124522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.005587021,0.0006554016,0.3893166,0.0009738721,0.0005163323,0.001525422,0.2878372,0.2969522,0.01663606],"genre_scores_gemma":[0.0399043,0.001086066,0.6362996,0.0007734922,0.0002561972,0.005960551,0.2731344,0.03522615,0.007359277],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05987724,"threshold_uncertainty_score":0.2003093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1016945815920334,"score_gpt":0.3489698403047797,"score_spread":0.2472752587127463,"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."}}