{"id":"W4386127269","doi":"10.1145/3609956.3609975","title":"An Interactive Map-based System for Visually Exploring Goods Movement based on GPS Traces","year":2023,"lang":"en","type":"article","venue":"","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Calgary","funders":"","keywords":"Global Positioning System; Computer science; Movement (music); Computer graphics (images); Computer vision; Human–computer interaction; Artificial intelligence; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.001592575,0.0001234479,0.0001802391,0.0002403259,0.000673145,0.0001585223,0.0002479099,0.00005729964,0.000326859],"category_scores_gemma":[0.0001264827,0.0001142061,0.0001544444,0.0004949524,0.00007182831,0.0002603828,0.000007191753,0.00007305383,0.00009904315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003361001,"about_ca_system_score_gemma":0.0002383385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003230004,"about_ca_topic_score_gemma":0.01088563,"domain_scores_codex":[0.9983543,0.0002924599,0.0002547838,0.0003594772,0.0004340366,0.0003049771],"domain_scores_gemma":[0.9986138,0.0007753464,0.00008394915,0.0002547011,0.0001319666,0.0001402666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001398223,0.003433479,0.01514857,0.0016774,0.0005809655,0.00003161034,0.09351821,0.5267649,0.005200584,0.1633457,0.004291939,0.1846085],"study_design_scores_gemma":[0.001007084,0.000664695,0.002494614,0.0002124863,0.00009121666,8.443796e-9,0.1530891,0.8219751,0.01095616,0.0004666734,0.008595846,0.0004470565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7724823,0.00001527225,0.1889745,0.01053448,0.001387503,0.002907185,0.0001124368,0.002550193,0.02103609],"genre_scores_gemma":[0.9976348,0.000001050479,0.0002838062,0.0004582222,0.0002559465,0.0005965492,0.00006945539,0.00001405174,0.0006861031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2952102,"threshold_uncertainty_score":0.6074436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07579505599373196,"score_gpt":0.3680450600246343,"score_spread":0.2922500040309023,"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."}}