{"id":"W4388470413","doi":"10.1145/3632268.3632270","title":"Conference Report: The 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2022) Seattle, Washington, USA November 1--4, 2022","year":2022,"lang":"en","type":"article","venue":"SIGSPATIAL Special","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Library science; Geography; Cartography; Operations research; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003630724,0.000533957,0.0006727471,0.0008666277,0.002976805,0.0008679974,0.002914714,0.0002503757,0.007702063],"category_scores_gemma":[0.00417612,0.0004842369,0.0002854964,0.001636961,0.0007511698,0.002505563,0.001429704,0.001237343,0.0002523796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006637497,"about_ca_system_score_gemma":0.0007970138,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02482061,"about_ca_topic_score_gemma":0.06552211,"domain_scores_codex":[0.9914017,0.001011587,0.001910454,0.0006453043,0.004030216,0.001000678],"domain_scores_gemma":[0.9950815,0.0009279163,0.001639467,0.001097341,0.00103358,0.0002201736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001590979,0.0007558251,0.271269,0.0001844009,0.0004731555,0.000228719,0.1264944,0.01142104,0.00008660434,0.4976825,0.04095124,0.04886224],"study_design_scores_gemma":[0.002498621,0.0004357419,0.03841244,0.0001465896,0.00005538384,0.00004996005,0.05476496,0.002508665,0.00002119016,0.004946569,0.8949376,0.001222256],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2554868,0.0005946396,0.002231896,0.02604229,0.07378265,0.009449802,0.0027937,0.0007038538,0.6289144],"genre_scores_gemma":[0.990993,0.0004939324,0.00006077672,0.0005430353,0.005437501,0.001000261,0.0005598444,0.00002801935,0.0008835871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8539864,"threshold_uncertainty_score":0.9997609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02638726650737019,"score_gpt":0.2948243118265845,"score_spread":0.2684370453192143,"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."}}