{"id":"W7133086715","doi":"","title":"Development of a trip reconstruction tool for GPS-based personal travel surveys","year":2003,"lang":"","type":"dissertation","venue":"TSpace","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Global Positioning System; TRIPS architecture; Travel survey; Data processing; Data collection; Downtown; Public transport; Travel behavior","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006430177,0.0004479767,0.0008494323,0.0003946673,0.001392113,0.00009668965,0.0003061338,0.0006335848,0.003470305],"category_scores_gemma":[0.000794606,0.0005146971,0.0006330372,0.0009956632,0.0003532698,0.0001197221,0.000005008565,0.0002935432,0.00002954315],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000479448,"about_ca_system_score_gemma":0.006164861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002727879,"about_ca_topic_score_gemma":0.02633337,"domain_scores_codex":[0.9954115,0.001209415,0.001174001,0.0008080257,0.000863416,0.0005336455],"domain_scores_gemma":[0.996686,0.000695765,0.001063376,0.0002762114,0.001106907,0.0001717197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005189366,0.001048877,0.001944096,0.0019242,0.0007644573,7.295328e-7,0.4018193,0.0003031466,0.004116681,0.0008609517,0.0002157677,0.5864828],"study_design_scores_gemma":[0.005031776,0.0004429095,0.03464611,0.001240417,0.00177858,0.000001274816,0.8774554,0.01917861,0.04511425,0.0004440698,0.01177005,0.00289652],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9013941,0.0002074455,0.09214761,0.0002024959,0.0009295368,0.001659408,0.00005197746,0.0000302893,0.003377107],"genre_scores_gemma":[0.9560887,0.00004377263,0.009794306,0.00005387099,0.000176007,0.0003880349,0.001285354,0.00004603919,0.03212389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5835863,"threshold_uncertainty_score":0.9999079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04232251831750349,"score_gpt":0.3599919981262733,"score_spread":0.3176694798087698,"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."}}