{"id":"W4235644395","doi":"10.1177/0361198106197100115","title":"Implementation of Nationwide Public Transport Smart Card in the Netherlands","year":2006,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Public transport; Ministry of Transport; Smart card; Business; Work (physics); Government (linguistics); Competition (biology); Transport engineering; Environmental economics; Marketing; Economics; Engineering; Computer science; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01236469,0.0002220295,0.0004223818,0.001374349,0.0009979386,0.0001359061,0.001335765,0.0002315685,0.0002849951],"category_scores_gemma":[0.0001346768,0.0001622226,0.0003796766,0.004363405,0.000950286,0.0009733254,0.000002241617,0.00146576,0.000005566271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002166752,"about_ca_system_score_gemma":0.001521633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1361988,"about_ca_topic_score_gemma":0.7007831,"domain_scores_codex":[0.9887156,0.002775525,0.002000877,0.000350656,0.005249829,0.0009075482],"domain_scores_gemma":[0.9936531,0.001366682,0.0007321552,0.0003811954,0.003687217,0.0001796862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002511719,0.0002379354,0.9475388,0.00008013706,0.000045685,0.00003561943,0.02010677,0.002774389,0.0002617414,0.02426696,0.002516959,0.001883852],"study_design_scores_gemma":[0.001432797,0.0002039677,0.9426473,0.0001214097,0.00004333324,2.531656e-7,0.02626035,0.00002592273,0.0003001003,0.003614319,0.02519915,0.0001510401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844202,0.0001993835,0.002062176,0.01016188,0.0004061803,0.001240668,0.00008717826,0.00002645374,0.001395869],"genre_scores_gemma":[0.9976807,0.0005879019,0.0008263473,0.00005608323,0.0002455702,0.0000876904,0.0001048034,0.00003497677,0.0003759395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5645843,"threshold_uncertainty_score":0.8695533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09111717021444378,"score_gpt":0.4197541983096204,"score_spread":0.3286370280951766,"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."}}