{"id":"W4388861481","doi":"10.1145/3615885","title":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives 2023","year":2023,"lang":"en","type":"paratext","venue":"","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Canada First Research Excellence Fund; Ocean Frontier Institute; Innoviris; Région de Bruxelles-Capitale; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Dalhousie University; Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Tourism; Computer science; Data science; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03278014,0.001609774,0.00172419,0.003826097,0.002653077,0.01501337,0.003935703,0.003832833,0.05775891],"category_scores_gemma":[0.05136963,0.001231584,0.001330556,0.004065719,0.005427883,0.01169157,0.008145605,0.005395677,0.01565959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002634896,"about_ca_system_score_gemma":0.005643324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01926808,"about_ca_topic_score_gemma":0.03178007,"domain_scores_codex":[0.9873846,0.008371807,0.0005280451,0.0008945095,0.002490607,0.0003303901],"domain_scores_gemma":[0.9335251,0.03917672,0.0008664737,0.01091788,0.01208637,0.003427557],"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":[0.0002343737,0.0001981026,0.002005677,0.0006600008,0.0001458011,0.000279681,0.002512716,0.001438592,0.0009055129,0.07237696,0.6333448,0.2858978],"study_design_scores_gemma":[0.00002299689,0.00003020348,0.001004554,0.0006207143,0.00003824809,0.0002034965,0.001659068,0.00221318,0.0005434415,0.05025575,0.9433662,0.00004201271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00629071,0.0474049,0.5986837,0.1655652,0.0421668,0.0006128105,0.004476456,0.00356029,0.1312392],"genre_scores_gemma":[0.05534239,0.05142569,0.4561753,0.01353966,0.02270407,0.001530625,0.01341911,0.007377551,0.3784856],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05775891,"threshold_uncertainty_score":0.1932228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.114127195255402,"score_gpt":0.4929869729202271,"score_spread":0.3788597776648251,"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."}}