{"id":"W3112969596","doi":"10.15353/acmla.n165.1867","title":"Esri UC2020: Reporting from the world's biggest GIS event","year":2020,"lang":"en","type":"article","venue":"Bulletin - Association of Canadian Map Libraries and Archives (ACMLA)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Event (particle physics); Geography; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.02924176,0.001504005,0.0008502493,0.01254797,0.0021575,0.01182222,0.003180752,0.002929161,0.02949936],"category_scores_gemma":[0.09206643,0.0005781716,0.0008458996,0.02138789,0.0009718382,0.007428056,0.004252044,0.003180289,0.02021208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004222227,"about_ca_system_score_gemma":0.01248038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09055262,"about_ca_topic_score_gemma":0.1032972,"domain_scores_codex":[0.9844014,0.002610068,0.002901173,0.0007295116,0.008330851,0.001026983],"domain_scores_gemma":[0.8954685,0.01540338,0.01524805,0.004448678,0.06142705,0.008004367],"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":[0.000009001184,0.00000503873,0.001089356,0.0002580851,0.000006101925,0.00001348142,0.00006516564,0.00002730333,0.00002876648,0.0002858865,0.9807652,0.01744682],"study_design_scores_gemma":[0.000004462991,0.000009508308,0.006522653,0.0004886089,0.00001510332,0.00003268795,0.0004064486,0.00005256836,0.0001234859,0.0001810635,0.9921389,0.00002436807],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.005751252,0.1148864,0.009148568,0.3625352,0.1475404,0.0008429367,0.2211212,0.008143478,0.1300306],"genre_scores_gemma":[0.03146747,0.1677124,0.02623877,0.07368342,0.09129307,0.001579006,0.5037197,0.007105822,0.09720026],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09055262,"threshold_uncertainty_score":0.1800511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02143434084969537,"score_gpt":0.2249633409425809,"score_spread":0.2035290000928855,"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."}}