{"id":"W2931142533","doi":"10.15353/acmla.n161.731","title":"Situating GIS Services: New Neighbours and Spaces","year":2019,"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":"Footprint; Context (archaeology); Government (linguistics); Key (lock); Ideal (ethics); Space (punctuation); Geography; Computer science; Political science; Computer security; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002928528,0.0001201399,0.0002422466,0.0003821061,0.0006732038,0.0003514334,0.000150924,0.00009043246,0.0003093442],"category_scores_gemma":[0.0001027355,0.0001254566,0.00004831877,0.000250914,0.0001458672,0.0002977606,0.0000667014,0.00009679634,0.00002677104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002177267,"about_ca_system_score_gemma":0.0002432903,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1358444,"about_ca_topic_score_gemma":0.08561429,"domain_scores_codex":[0.9987983,0.0001085208,0.0002796427,0.0001639646,0.0002793558,0.0003702262],"domain_scores_gemma":[0.9987066,0.0004983563,0.0003614235,0.00009931037,0.000033518,0.0003007319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001176366,0.000004998581,0.5890903,0.0001682908,0.0001111657,7.129973e-7,0.1131893,0.000009027778,0.00001400555,0.2800345,0.01387383,0.003492085],"study_design_scores_gemma":[0.0003046228,0.00002726282,0.1101019,0.00009487745,0.00001353482,2.802923e-7,0.04772783,0.00002376814,0.000005864806,0.005215801,0.8363312,0.0001529478],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3608089,0.001718796,0.00002290488,0.1239059,0.0006535378,0.0007634556,0.0001198486,0.00009693129,0.5119097],"genre_scores_gemma":[0.9516565,0.0008008946,0.002290251,0.001258498,0.00027788,0.000008360194,0.00002766633,0.00001543501,0.04366458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8224574,"threshold_uncertainty_score":0.9310709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00615580011297276,"score_gpt":0.1891633504518883,"score_spread":0.1830075503389156,"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."}}