{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004794466,0.0004235468,0.0007773282,0.0004895183,0.0002425512,0.000009948862,0.001217886,0.0005773074,0.0003524186],"category_scores_gemma":[0.00005236509,0.0005258381,0.0003160708,0.001616187,0.0004404707,0.0004675046,0.0001504618,0.0006444564,0.00008562996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004444833,"about_ca_system_score_gemma":0.0001170847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001844817,"about_ca_topic_score_gemma":0.0003896,"domain_scores_codex":[0.9975647,0.00007454439,0.0004205859,0.0008181451,0.000598024,0.0005240351],"domain_scores_gemma":[0.9975914,0.000192735,0.0002094878,0.001207663,0.0003922501,0.0004064156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008043367,0.005067725,0.004292445,0.001410251,0.001160737,0.0004681385,0.001983453,0.1472466,0.2938828,0.05763037,0.08988456,0.3889296],"study_design_scores_gemma":[0.01759554,0.008035189,0.2186345,0.002012779,0.004538957,0.0009036402,0.005722567,0.02347084,0.02826357,0.02434321,0.6562421,0.0102371],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05622983,0.0001213822,0.9340929,0.001029958,0.0000474053,0.0009765835,0.00007244098,0.0008978248,0.006531612],"genre_scores_gemma":[0.7111403,0.0002936959,0.2877008,0.00005006578,0.0000693095,0.000001161652,0.00004882316,0.00003956021,0.0006562498],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6549105,"threshold_uncertainty_score":0.9997193,"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."}}