{"id":"W2735170548","doi":"","title":"University of Guelph active transport project","year":2017,"lang":"en","type":"dataset","venue":"The Atrium (University of Guelph)","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.0001632099,0.0003163733,0.0006434039,0.0002082457,0.0002723929,0.000005358954,0.001782516,0.0004072505,0.0003594195],"category_scores_gemma":[0.000007648733,0.0003438285,0.000370659,0.0001900586,0.0007367611,0.0001765331,0.00008436113,0.0005761058,0.00006736066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009458202,"about_ca_system_score_gemma":0.0001641519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005392873,"about_ca_topic_score_gemma":0.003627822,"domain_scores_codex":[0.9989187,0.00003956601,0.0001601497,0.0002752121,0.0003106642,0.0002957776],"domain_scores_gemma":[0.9983365,0.00006506763,0.0002775243,0.001114737,0.0001262312,0.00007991811],"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":[0.0002342281,0.00006874899,0.00006262921,0.0006480966,0.0005400193,0.000233121,0.0007679358,0.0002807595,0.0006304436,0.0000418519,0.9962503,0.0002418792],"study_design_scores_gemma":[0.0007815739,0.00009084013,0.02553142,0.0001139225,0.001230033,0.000006168537,0.001245417,0.0001565364,0.00003273724,0.0000369556,0.9703591,0.000415281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002536487,0.0002415464,0.001179141,0.00005414518,0.0003685033,0.0003839396,0.9924372,0.00009263484,0.002706404],"genre_scores_gemma":[0.3630523,0.003149759,0.000311572,0.000006093607,0.0001117135,8.121328e-8,0.6317512,0.00003614352,0.001581032],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3606859,"threshold_uncertainty_score":0.9999014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0288981358304336,"score_gpt":0.2079967386104174,"score_spread":0.1790986027799838,"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."}}