{"id":"W7101080148","doi":"","title":"Track: Transportation","year":2008,"lang":"en","type":"article","venue":"","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public transport; Population; Transportation planning; Urban planning; Measure (data warehouse); Estimation; Consumption (sociology); Modal; Sampling (signal processing); Travel survey","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005294795,0.001059631,0.0004938737,0.001827904,0.001358319,0.004524813,0.001116163,0.002165531,0.6446866],"category_scores_gemma":[0.001467793,0.0002785924,0.0004068197,0.004834961,0.000270368,0.004181541,0.001705114,0.00111237,0.5744725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001202699,"about_ca_system_score_gemma":0.001754937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0104393,"about_ca_topic_score_gemma":0.005850915,"domain_scores_codex":[0.9995763,0.00005402377,0.00002962379,0.0001307876,0.000149949,0.00005937493],"domain_scores_gemma":[0.9991717,0.0000667747,0.0000794762,0.0001506388,0.0003742706,0.0001571381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005301098,0.00001743736,0.0005500678,0.0001215137,0.000005560907,0.00003464824,0.00003700992,0.0001771507,0.0002118551,0.007740767,0.9125065,0.07854453],"study_design_scores_gemma":[0.000008787412,0.0000113029,0.0004686551,0.00003547246,0.000002939044,0.00002874697,0.00003358061,0.0002430783,0.0001040244,0.0009501205,0.9981085,0.000004814011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001484518,0.0008444117,0.0076473,0.002936753,0.002134878,0.0003003355,0.09648692,0.006288384,0.8818765],"genre_scores_gemma":[0.01172572,0.001363152,0.004665894,0.0007440951,0.0004952839,0.0002364597,0.08892782,0.001274101,0.8905675],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3553134,"threshold_uncertainty_score":0.5068114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0327351115831858,"score_gpt":0.2969297149731744,"score_spread":0.2641946033899886,"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."}}