{"id":"W4402169468","doi":"10.32920/26866426","title":"A Platform for Empowerment: Addressing the Emerging Needs of E-Bike Couriers in Toronto","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Empowerment; Business; Transport engineering; Economic growth; Engineering; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001568959,0.0003187985,0.0001860579,0.0005017961,0.01430465,0.004296892,0.0008611141,0.000995046,0.005621892],"category_scores_gemma":[0.002535298,0.0002593896,0.0001997794,0.0008593168,0.005425778,0.002422877,0.006151496,0.001583633,0.0002593382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0286691,"about_ca_system_score_gemma":0.04237582,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7389594,"about_ca_topic_score_gemma":0.9085442,"domain_scores_codex":[0.9979577,0.0006840604,0.00004207057,0.0001116809,0.000218133,0.0009862176],"domain_scores_gemma":[0.9975183,0.0004413332,0.0001760181,0.00005131875,0.0003144359,0.001498709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007452435,0.00007739505,0.02977237,0.0003202159,0.00001283665,0.003195483,0.9124039,0.000194202,0.002345541,0.01311308,0.01263245,0.02585804],"study_design_scores_gemma":[0.000005179569,0.0000349638,0.01791014,0.0001050799,0.000007619465,0.000103079,0.9328842,0.0001537752,0.0002101483,0.000500663,0.04807204,0.00001306746],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9516244,0.000834192,0.0005190902,0.01552209,0.00008783879,0.0001118735,0.00006951198,0.00001802925,0.03121306],"genre_scores_gemma":[0.9906508,0.0007054301,0.0004157241,0.0005319845,0.0000116188,0.00003669139,0.00004358947,0.000008633141,0.007595582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7389594,"threshold_uncertainty_score":0.5251559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03711444041868028,"score_gpt":0.313481337007253,"score_spread":0.2763668965885727,"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."}}