{"id":"W4400840020","doi":"10.2139/ssrn.4899341","title":"Bike-Share Ridership Prediction for Network Expansion Using Graph Neural Networks","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Artificial neural network; Computer science; Graph; Transport engineering; Artificial intelligence; Engineering; Theoretical computer science","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003083087,0.0005539063,0.0005563564,0.0005013561,0.0003432457,0.0004633417,0.0005776287,0.0006923449,0.00002413006],"category_scores_gemma":[0.00006223258,0.0005549754,0.0005584345,0.0004817011,0.00003809285,0.0001307037,0.0003101196,0.01010853,0.00001214161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002932798,"about_ca_system_score_gemma":0.001193485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005606896,"about_ca_topic_score_gemma":0.000339909,"domain_scores_codex":[0.9936,0.0001883884,0.0007817428,0.0005520947,0.0005853574,0.004292443],"domain_scores_gemma":[0.998836,0.0001531528,0.0001708366,0.000462217,0.0001851811,0.0001926585],"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":[0.00005085275,0.000008492729,0.0004071493,0.0004806384,0.0006519856,0.00000781211,0.00007621671,0.9860228,0.00009605005,0.0006515486,0.005000393,0.006546067],"study_design_scores_gemma":[0.0003337677,0.0001453509,0.00006079839,0.001085356,0.0001747758,0.0004148044,0.0001809112,0.9295363,0.00001974475,0.06668818,0.0009329928,0.000426946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3029977,0.135596,0.5316824,0.0002209502,0.02491987,0.00251055,0.0001216369,0.001528371,0.0004225438],"genre_scores_gemma":[0.9842253,0.002966862,0.0002227157,0.00001038147,0.0115593,0.0001387644,0.000123403,0.0003160455,0.0004372761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6812276,"threshold_uncertainty_score":0.9996902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03213451752321656,"score_gpt":0.2773501156702284,"score_spread":0.2452155981470118,"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."}}