{"id":"W2609551177","doi":"","title":"Introduction to Transport Models: Application with SAS Software","year":2009,"lang":"en","type":"article","venue":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","topic":"SAS software applications and methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Software; Computer science; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004832526,0.001485418,0.001500168,0.001701404,0.0004605626,0.002185675,0.001720577,0.001144277,0.07637059],"category_scores_gemma":[0.01970298,0.001663296,0.002135428,0.002274503,0.0003933846,0.001358963,0.0008803948,0.004091972,0.02982603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006361087,"about_ca_system_score_gemma":0.002237768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00377717,"about_ca_topic_score_gemma":0.002874807,"domain_scores_codex":[0.9969705,0.001552711,0.0004966441,0.0003166287,0.0004588553,0.0002045013],"domain_scores_gemma":[0.9793912,0.01555897,0.0006921823,0.002289994,0.001805362,0.0002622927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009366836,0.0004597173,0.003754034,0.003461424,0.00121078,0.0005853765,0.0006136966,0.02740348,0.01117192,0.04273346,0.5931609,0.3145086],"study_design_scores_gemma":[0.0007218784,0.0004109203,0.006875158,0.0007084265,0.000557122,0.001309136,0.0003249927,0.09683666,0.01936779,0.05240722,0.8201627,0.0003179633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00324452,0.0006426757,0.8763314,0.0007515787,0.0009916378,0.0004408017,0.02622243,0.08422941,0.007145521],"genre_scores_gemma":[0.03235414,0.001509648,0.9052594,0.0005946077,0.0005933216,0.002787423,0.02001303,0.02436937,0.0125191],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07637059,"threshold_uncertainty_score":0.2554851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009200453504736564,"score_gpt":0.1992955907717651,"score_spread":0.1900951372670285,"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."}}