{"id":"W2127149143","doi":"10.18757/ejtir.2002.2.4.3721","title":"Reducing Transport Intensity","year":2002,"lang":"en","type":"article","venue":"European journal of transport and infrastructure research","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gross domestic product; Context (archaeology); Economics; Decoupling (probability); Energy intensity; Efficient energy use; Globalization; Environmental economics; Econometrics; Public economics; Macroeconomics; Engineering; Geography; Market economy","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":[],"category_scores_codex":[0.001410066,0.0002191445,0.0003668428,0.0003831725,0.0002527234,0.00002693271,0.0003439636,0.00006486068,0.001342034],"category_scores_gemma":[0.00002361666,0.000177973,0.0001774702,0.0003167698,0.0004308572,0.0003146539,0.00001027707,0.000973083,0.0000227886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000369266,"about_ca_system_score_gemma":0.00002333162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009248952,"about_ca_topic_score_gemma":0.00003397886,"domain_scores_codex":[0.9975157,0.0002350048,0.0007657534,0.0002560581,0.0007600079,0.0004674328],"domain_scores_gemma":[0.9989401,0.0000496513,0.0001855424,0.0002529951,0.0002266507,0.0003451034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002155971,0.001003888,0.433161,0.0008377624,0.001848475,0.01291033,0.07458314,0.06718156,0.06616305,0.0311185,0.01869124,0.2903451],"study_design_scores_gemma":[0.001199963,0.00039608,0.8193849,0.0001271669,0.00006543508,0.0003146624,0.0006300554,0.0000696999,0.001762119,0.0005998905,0.1751927,0.0002573901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470196,0.0009448003,0.0005052858,0.0006013752,0.0002375496,0.00006850322,0.00001041007,0.00002590338,0.0505866],"genre_scores_gemma":[0.9948736,0.002576523,0.0009188571,0.0001294625,0.0004459277,6.231225e-7,0.00001182484,0.00005376715,0.000989389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3862239,"threshold_uncertainty_score":0.9995708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03549783748346624,"score_gpt":0.2672684248695966,"score_spread":0.2317705873861303,"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."}}