{"id":"W4390100407","doi":"10.1145/3589132.3625619","title":"Point2Hex: Higher-order Mobility Flow Data and Resources","year":2023,"lang":"en","type":"article","venue":"","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Data mining; Documentation; Cluster analysis; Granularity; Anomaly detection; Overfitting; Machine learning; Information retrieval; Programming language","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00194585,0.00006500725,0.0001121734,0.00006730881,0.0006012607,0.0001136639,0.0003880376,0.00006362799,0.003392526],"category_scores_gemma":[0.0004337342,0.00005731209,0.00002522124,0.0007925676,0.0003915055,0.0001930777,0.0001650977,0.00007324266,0.0002609923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002425519,"about_ca_system_score_gemma":0.00008196414,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01570836,"about_ca_topic_score_gemma":0.0454946,"domain_scores_codex":[0.9987798,0.0002135402,0.0001512304,0.0003674828,0.0002792376,0.000208754],"domain_scores_gemma":[0.9988918,0.0003125925,0.00002663304,0.0005857219,0.00007578383,0.0001074903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006673233,0.0007327104,0.1915083,0.0002077039,0.0003641891,0.00001971913,0.0992749,0.001175456,0.0001479604,0.05128979,0.2108964,0.4443162],"study_design_scores_gemma":[0.0002285222,0.00002260685,0.07844628,0.00001042749,0.00005674964,9.074012e-8,0.01746087,0.03185401,0.00001088107,0.01070023,0.8609443,0.0002650364],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8628743,0.0002278274,0.00122855,0.03037527,0.0002397641,0.0003825331,0.000092897,0.0008331388,0.1037457],"genre_scores_gemma":[0.9792978,0.00008207277,0.0003415374,0.0003305657,0.0001978518,0.00000892448,0.00008952347,0.000005188694,0.0196465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.650048,"threshold_uncertainty_score":0.9975185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05839212160918147,"score_gpt":0.3439364566921072,"score_spread":0.2855443350829256,"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."}}