{"id":"W3127327510","doi":"10.3390/electronics10040379","title":"The Influence of Public Transport Delays on Mobility on Demand Services","year":2021,"lang":"en","type":"article","venue":"Electronics","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Deutsche Forschungsgemeinschaft; Deutscher Akademischer Austauschdienst","keywords":"Public transport; Variance (accounting); Transport engineering; Business; Transit (satellite); Demand management; Service (business); Supply and demand; Economics; Microeconomics; Marketing; Engineering","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":[0.0006705719,0.0002808716,0.0002727398,0.0006522136,0.0003305773,0.001065759,0.0003594423,0.0003449488,0.005348479],"category_scores_gemma":[0.006715987,0.0001888657,0.0008914099,0.001041066,0.000422986,0.0007008911,0.0007204596,0.0006569755,0.0004359585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001391959,"about_ca_system_score_gemma":0.0009035643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04261838,"about_ca_topic_score_gemma":0.03384663,"domain_scores_codex":[0.9988944,0.0002847781,0.00006206949,0.0001855035,0.000221909,0.0003513768],"domain_scores_gemma":[0.9908372,0.005939143,0.001767754,0.0004883745,0.0006099264,0.0003575577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003661255,0.00008468041,0.9715522,0.00004851262,0.0002322418,0.0002646549,0.0003708831,0.01525161,0.001674596,0.001308776,0.000637629,0.008208204],"study_design_scores_gemma":[0.000006484402,0.00007044496,0.987671,0.000008860151,0.00007095192,0.00008033016,0.0006211102,0.00929145,0.0005976725,0.0003497469,0.001218881,0.00001306676],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961691,0.000117398,0.0004323658,0.0001589324,0.000008461599,0.00000826844,0.0006995892,0.00001065556,0.002395204],"genre_scores_gemma":[0.9992154,0.00003960505,0.00004715491,0.000007839307,0.0000082602,0.000003283322,0.0002713006,0.000004114762,0.0004031669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04261838,"threshold_uncertainty_score":0.08474064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00778049464772589,"score_gpt":0.2180343828097039,"score_spread":0.210253888161978,"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."}}