{"id":"W755334423","doi":"","title":"Bordering on frustration","year":2007,"lang":"en","type":"article","venue":"Traffic world","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Frustration; Transport engineering; Business; Engineering; Psychology; Social psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002900975,0.00003705564,0.00003839079,0.00005470704,0.0001848946,0.00002638301,0.00007087683,0.0000237065,0.0002079839],"category_scores_gemma":[0.00005332926,0.00004125046,0.00002099429,0.0002628172,0.00005854266,0.00005393376,0.000001855422,0.00007008848,0.0001016142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009427904,"about_ca_system_score_gemma":0.00007327607,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009986618,"about_ca_topic_score_gemma":0.6604348,"domain_scores_codex":[0.9994726,0.0000120983,0.0000707437,0.00008017284,0.0001475074,0.0002168394],"domain_scores_gemma":[0.9997377,0.0000736275,0.00002540791,0.00006237111,0.000008817669,0.00009208883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002390098,0.00003812171,0.0002519668,0.00000359808,0.000005081224,0.000018702,0.006457215,0.0003506088,0.00003106059,0.6572096,0.1725872,0.1630229],"study_design_scores_gemma":[0.0000729588,0.000009025965,0.01249372,0.000009942545,0.000001339138,1.035691e-7,0.0001653112,0.00001024512,0.00008175781,0.0002412362,0.9868516,0.00006274341],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5716441,0.00002801585,0.00003104283,0.01292305,0.0002632075,0.00009072082,0.000005455538,0.00008036089,0.414934],"genre_scores_gemma":[0.9600329,0.000004871411,0.00004395251,0.001585786,0.0005211758,0.000001004114,5.843212e-7,0.000003656475,0.03780609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8142645,"threshold_uncertainty_score":0.996606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02466040077268278,"score_gpt":0.3160426292379607,"score_spread":0.2913822284652779,"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."}}