{"id":"W4206609826","doi":"10.15353/acmla.n168.4218","title":"Esri UC2021: reporting from the world's biggest GIS event","year":2021,"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); Event data; Computer science; Geography; Data science; Physics; Astrophysics","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":[0.0239864,0.001545166,0.001041811,0.01270681,0.003072662,0.01483511,0.003887961,0.003744086,0.04976267],"category_scores_gemma":[0.07637512,0.0007656636,0.001022619,0.01966736,0.001109299,0.008570234,0.004456811,0.004425963,0.03216871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004620586,"about_ca_system_score_gemma":0.0114959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06024031,"about_ca_topic_score_gemma":0.0915988,"domain_scores_codex":[0.9882576,0.00181028,0.001988429,0.0005270176,0.006643505,0.0007732355],"domain_scores_gemma":[0.9131394,0.01654258,0.01165462,0.00339641,0.04760558,0.007661449],"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":[0.000004570414,0.000003728478,0.0004155766,0.0001135149,0.000002378213,0.000008230254,0.00003419335,0.00001144182,0.00001293775,0.000133847,0.9891034,0.0101561],"study_design_scores_gemma":[0.000002988839,0.00000666205,0.003259244,0.0002829395,0.000007087699,0.00002033979,0.0002708617,0.00002832161,0.0000510563,0.0001187146,0.9959354,0.00001636235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.00279192,0.06581449,0.004826232,0.4133611,0.3264931,0.0006330627,0.08607793,0.00521663,0.09478559],"genre_scores_gemma":[0.0172202,0.1541164,0.0176494,0.1044419,0.2550277,0.001568608,0.2716053,0.008187513,0.170183],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06024031,"threshold_uncertainty_score":0.1664727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578320767538721,"score_gpt":0.2287700069503097,"score_spread":0.2129867992749225,"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."}}