{"id":"W1940511189","doi":"","title":"Welcome to Winnipeg: Canadian Train Game","year":2009,"lang":"en","type":"article","venue":"","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Media studies; Sociology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007846751,0.00009858982,0.0001135345,0.0002715824,0.00006710486,0.0001400064,0.0001652394,0.00003324952,0.001498555],"category_scores_gemma":[0.000005127697,0.00009365009,0.00004385063,0.0001814853,0.000009862021,0.000424162,0.000006462786,0.00004231752,0.002518485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003254191,"about_ca_system_score_gemma":0.00002251766,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2111768,"about_ca_topic_score_gemma":0.3399116,"domain_scores_codex":[0.9993311,5.433366e-7,0.0001326223,0.0001368755,0.00004396201,0.0003549552],"domain_scores_gemma":[0.9997882,0.00000246303,0.00001921438,0.0001300131,0.00001456122,0.00004561234],"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":[0.00003041712,0.00007128854,0.06873301,0.00003380875,0.0000313425,0.00004583569,0.0005682038,0.000417474,0.0006240476,0.5416644,0.3259873,0.06179289],"study_design_scores_gemma":[0.0001050166,0.000003583679,0.330341,0.000003705471,0.000004467379,3.460958e-7,0.0000576231,0.0001022765,0.000008880341,0.002209629,0.6670323,0.0001311858],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5067708,0.000006701404,0.00005635136,0.02359746,0.0002936146,0.0001035705,0.000002350043,0.0001161243,0.469053],"genre_scores_gemma":[0.9488927,5.851196e-7,0.00005903649,0.04526343,0.0012001,0.000002472294,0.00001141012,0.000008079058,0.004562251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5394548,"threshold_uncertainty_score":0.9994142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549225094297178,"score_gpt":0.1975736859657558,"score_spread":0.182081435022784,"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."}}