{"id":"W7036169819","doi":"","title":"Assessing MoDOT's Efforts to Provide the Right Transportation Solution [2007]","year":2024,"lang":"en","type":"other","venue":"Rosa P: A digital library for transportation research (United States Department of Transportation)","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Missouri Department of Transportation; University of Missouri; U.S. Department of Transportation","keywords":"Margin (machine learning); Right of way; Set (abstract data type); Public transport; Customer satisfaction; Measure (data warehouse); Public opinion; Feature (linguistics); Market research; Quarter (Canadian coin)","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000878717,0.0006512336,0.0006752488,0.001760016,0.000737848,0.001109765,0.0006958538,0.0005537412,0.0008950609],"category_scores_gemma":[0.00005141495,0.0005917214,0.0005084974,0.003248751,0.0005839355,0.002684783,0.000003247435,0.0006102697,0.000122515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001194104,"about_ca_system_score_gemma":0.0006989169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003639238,"about_ca_topic_score_gemma":0.005366682,"domain_scores_codex":[0.9940213,0.0002175125,0.001431381,0.001079,0.002171106,0.001079711],"domain_scores_gemma":[0.9972703,0.0006036219,0.0005907193,0.0004663752,0.0005567981,0.0005122073],"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":[0.0004346441,0.0004252208,0.0007293165,0.001620654,0.0004579536,0.00007297632,0.01160369,0.004243914,0.00000339073,0.03652918,0.9418873,0.00199182],"study_design_scores_gemma":[0.0007196162,0.0002546385,0.001272321,0.001013112,0.0003173698,2.367962e-7,0.003179856,0.0003299843,0.0001012829,0.003122718,0.9890599,0.0006290062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01729075,0.002014151,0.07433899,0.01156015,0.001966652,0.01487683,0.8576732,0.003280897,0.01699843],"genre_scores_gemma":[0.08940239,0.0007936577,0.005993724,0.0003278356,0.0004617402,0.001701118,0.8044628,0.0009907798,0.09586594],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07886752,"threshold_uncertainty_score":0.9999272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03643334169877026,"score_gpt":0.3355894919495722,"score_spread":0.2991561502508019,"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."}}