{"id":"W4403531902","doi":"10.5194/isprs-annals-x-4-2024-169-2024","title":"Exploring Spatiotemporal Interaction Patterns of Dockless Shared Bicycle Networks: A Case Study of Shenzhen, China","year":2024,"lang":"en","type":"article","venue":"ISPRS annals of the photogrammetry, remote sensing and spatial information sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Beijing Association for Science and Technology; China Scholarship Council; Ministry of Natural Resources of the People's Republic of China","keywords":"China; Computer science; Geography","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":[0.000388917,0.000263011,0.0002182504,0.001973968,0.001277846,0.0006787013,0.0009136486,0.0004568558,0.001213405],"category_scores_gemma":[0.0009611277,0.0001511117,0.0003428945,0.004055792,0.0009315069,0.0009352391,0.001021291,0.0002236747,0.00007982252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002623932,"about_ca_system_score_gemma":0.001476658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1550259,"about_ca_topic_score_gemma":0.2385798,"domain_scores_codex":[0.9997116,0.000104584,0.00001634242,0.00004915702,0.00004522964,0.00007304307],"domain_scores_gemma":[0.9993956,0.0002318834,0.0001128948,0.00005664858,0.00008674737,0.0001162233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000412407,0.0005980158,0.7930262,0.0004783581,0.0003433377,0.03150259,0.03067447,0.07362509,0.005860295,0.01442075,0.004495514,0.04456306],"study_design_scores_gemma":[0.00004083847,0.0002633935,0.7680823,0.00008469847,0.0001709089,0.00124067,0.08147626,0.1352154,0.001977036,0.002786895,0.008565615,0.000095956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983051,0.00004539959,0.0005535253,0.00006577684,0.000002233138,0.00002103674,0.000197869,0.000008989698,0.0007999195],"genre_scores_gemma":[0.9987044,0.00006027591,0.0005466202,0.000009473354,0.00000127628,0.00001885589,0.0002500288,0.000001807002,0.0004072837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1550259,"threshold_uncertainty_score":0.3082471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1598027294978603,"score_gpt":0.3751051865868182,"score_spread":0.2153024570889579,"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."}}