{"id":"W4391903970","doi":"10.24251/hicss.2023.609","title":"Introduction to the Minitrack on Geospatial Big Data Analytics","year":2023,"lang":"en","type":"article","venue":"Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences","topic":"University-Industry-Government Innovation Models","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Digital transformation; Knowledge management; Transformation (genetics); Computer science; Business; Epistemology; Chemistry; World Wide Web; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006105957,0.001475921,0.001264405,0.006204281,0.001677912,0.009775597,0.003125969,0.003491511,0.05653894],"category_scores_gemma":[0.01713199,0.001320246,0.001252045,0.008210653,0.002064864,0.01540296,0.006552565,0.009135948,0.0326573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733054,"about_ca_system_score_gemma":0.002675252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003704503,"about_ca_topic_score_gemma":0.007521255,"domain_scores_codex":[0.9971559,0.0005689302,0.0001970702,0.0005286557,0.001352784,0.0001966999],"domain_scores_gemma":[0.9791831,0.008932222,0.0005061903,0.002453011,0.00646205,0.002463352],"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":[0.0000427249,0.00003839644,0.0003485616,0.0005105732,0.00002398703,0.00004200736,0.0001072121,0.0003046298,0.001298286,0.0145135,0.84228,0.1404901],"study_design_scores_gemma":[0.000007563577,0.00001930756,0.0002907255,0.0002918172,0.000006809917,0.00007541497,0.00005650669,0.0005903217,0.0002661507,0.008212758,0.9901547,0.00002773645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"editorial","genre_scores_codex":[0.002118692,0.2120682,0.3000553,0.1888645,0.1678019,0.001007035,0.01187077,0.01742137,0.0987922],"genre_scores_gemma":[0.01546589,0.2220309,0.2235711,0.09085535,0.1862773,0.001140922,0.02556754,0.01021931,0.2248717],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.05653894,"threshold_uncertainty_score":0.1891416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1105278490069925,"score_gpt":0.2929218351062267,"score_spread":0.1823939860992342,"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."}}