{"id":"W2594608500","doi":"","title":"Trængselsopgørelse Københavns Kommune 2013","year":2014,"lang":"da","type":"article","venue":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","topic":"Economic, financial, and policy analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Environmental science","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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002608023,0.00115893,0.003893356,0.001899088,0.001017737,0.00008170598,0.004860735,0.002407437,0.009390204],"category_scores_gemma":[0.0006744185,0.001773459,0.002704428,0.002209175,0.003138892,0.001090223,0.00231302,0.002154881,0.004114273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001150502,"about_ca_system_score_gemma":0.0003923219,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01020611,"about_ca_topic_score_gemma":0.005952066,"domain_scores_codex":[0.9931083,0.0004574308,0.002119425,0.002189603,0.0004612791,0.001663975],"domain_scores_gemma":[0.9910313,0.001343165,0.003091301,0.003045456,0.0004979798,0.000990745],"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":[0.006925453,0.01072473,0.0568612,0.002668838,0.005192464,0.0008081746,0.002593472,0.001719397,0.006402746,0.5765155,0.3069078,0.02268028],"study_design_scores_gemma":[0.01075551,0.002655965,0.09912318,0.001039735,0.002308472,0.0001127507,0.001819731,0.005778358,0.000584883,0.01789765,0.8532027,0.004721079],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5242912,0.007156484,0.07498469,0.0136767,0.001467384,0.002852431,0.004237551,0.000683166,0.3706504],"genre_scores_gemma":[0.958268,0.0108255,0.007860496,0.0002388133,0.0002218506,6.376666e-7,0.0001178645,0.0001119308,0.02235486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5586178,"threshold_uncertainty_score":0.999574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652043715328339,"score_gpt":0.186903884024845,"score_spread":0.1703834468715616,"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."}}