{"id":"W4312254031","doi":"10.31705/bprm.v2.2021.13","title":"Introducing a smart phone-based travel survey application","year":2021,"lang":"en","type":"article","venue":"Bolgoda Plains","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Smart phone; Phone; Computer science; Travel behavior; Human–computer interaction; Data science; Operations research; Transport engineering; Engineering; Telecommunications","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":[0.000454943,0.0004757976,0.0004875282,0.0005130243,0.0002498714,0.00115366,0.001006428,0.0009212687,0.01196837],"category_scores_gemma":[0.001651809,0.0003088803,0.0004026261,0.0006959288,0.0001310282,0.0009436903,0.001059501,0.0006534689,0.006428721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00022147,"about_ca_system_score_gemma":0.0004059894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003653641,"about_ca_topic_score_gemma":0.004087144,"domain_scores_codex":[0.9996587,0.00007300863,0.00003153945,0.00008331148,0.0001290902,0.0000243216],"domain_scores_gemma":[0.9994674,0.0001943468,0.0000293777,0.0000956241,0.0001589322,0.00005421234],"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":[0.0007640827,0.001105265,0.03558442,0.0015499,0.0003777523,0.0026008,0.001892658,0.03717098,0.09090219,0.02449968,0.1257278,0.6778245],"study_design_scores_gemma":[0.0001565014,0.0002717515,0.01331779,0.0001930787,0.0001323403,0.001513282,0.0004918954,0.4851407,0.03028425,0.009336183,0.4589971,0.0001652357],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03722156,0.0002135937,0.8472723,0.001101971,0.0002744554,0.001110669,0.006122627,0.08679204,0.01989077],"genre_scores_gemma":[0.3188145,0.0007350761,0.6272408,0.001097824,0.0001694561,0.001149345,0.008763961,0.001572817,0.04045628],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01196837,"threshold_uncertainty_score":0.04003823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02404991004193905,"score_gpt":0.2948444476254133,"score_spread":0.2707945375834742,"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."}}