{"id":"W4242636191","doi":"10.4095/300997","title":"Mode of Transportation to Work, 2006: All Other Modes (by census division)","year":2010,"lang":"en","type":"report","venue":"","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Mode (computer interface); Division (mathematics); Transport engineering; Geography; Computer science; Engineering; Demography; Mathematics; Sociology; Human–computer interaction; Population; Arithmetic","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":[],"consensus_categories":[],"category_scores_codex":[0.0002226107,0.001026841,0.0002909953,0.003588598,0.0005851148,0.0007619097,0.001030618,0.0003112472,0.01559517],"category_scores_gemma":[0.0008824932,0.000316714,0.0005065381,0.006342331,0.0001141942,0.0007573164,0.000558801,0.0005990723,0.01019325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002784351,"about_ca_system_score_gemma":0.00461034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5808757,"about_ca_topic_score_gemma":0.7203924,"domain_scores_codex":[0.999546,0.00001331423,0.00005828587,0.00004914747,0.0002527808,0.00008052798],"domain_scores_gemma":[0.9990711,0.00001788999,0.0001150384,0.00002403088,0.0006776928,0.00009419153],"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":[0.0002155892,0.0002125769,0.1129056,0.001047442,0.00006541337,0.0001037829,0.0003708072,0.0009693836,0.0007022727,0.0006013256,0.8342612,0.04854456],"study_design_scores_gemma":[0.00004631601,0.00005502906,0.702048,0.0002865406,0.00002410792,0.0001284306,0.000554402,0.0003527387,0.0003153281,0.00008332248,0.2960805,0.00002531463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01934453,0.0008777441,0.0002409744,0.0002257852,0.0001682614,0.0003504241,0.9441545,0.0001817584,0.03445596],"genre_scores_gemma":[0.04805674,0.004099887,0.001810763,0.0003176964,0.00007695404,0.0007971085,0.8699471,0.00008605106,0.07480779],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4191243,"threshold_uncertainty_score":0.8431852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02696532536548277,"score_gpt":0.2885345482700871,"score_spread":0.2615692229046044,"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."}}