{"id":"W2249319055","doi":"","title":"Developing Freight Fluidity Performance Measures: Supply Chain Perspective onFreight System Performance. Summary of a Workshop, May 21-22, 2014, Washington, D.C.","year":2014,"lang":"en","type":"article","venue":"Transportation research circular","topic":"Transportation Systems and Infrastructure","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Supply chain; Breakout; Agency (philosophy); Variety (cybernetics); Supply chain management; Business; Transport engineering; Private sector; Performance measurement; Engineering; Marketing; Operations management; Finance; Computer science; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01007774,0.002014217,0.0004449428,0.002152705,0.002014009,0.006906487,0.001996956,0.002799231,0.0168566],"category_scores_gemma":[0.005440658,0.000923591,0.0007570996,0.002362982,0.002257914,0.007050908,0.003369982,0.004699195,0.003529357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008439827,"about_ca_system_score_gemma":0.00827515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01528887,"about_ca_topic_score_gemma":0.02076726,"domain_scores_codex":[0.9973366,0.001205628,0.0001327338,0.0003074949,0.0006367913,0.0003808795],"domain_scores_gemma":[0.9948289,0.001718612,0.000292344,0.0001570406,0.00230638,0.0006967636],"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":[0.0001464671,0.0005483989,0.003022967,0.001815751,0.00005060277,0.00051331,0.01458044,0.002100319,0.003677174,0.04380738,0.5807555,0.3489816],"study_design_scores_gemma":[0.00001879804,0.000170937,0.005889941,0.004743387,0.00003375423,0.000265991,0.030558,0.001173926,0.002921107,0.01337616,0.9407614,0.00008648155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0461715,0.2187056,0.1507749,0.2545069,0.02921879,0.001470709,0.002104423,0.0008671567,0.2961801],"genre_scores_gemma":[0.3268526,0.2161386,0.06882028,0.02287553,0.005808664,0.002104013,0.004141213,0.000711227,0.3525479],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0168566,"threshold_uncertainty_score":0.06123549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03647783308947993,"score_gpt":0.26773762441085,"score_spread":0.2312597913213701,"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."}}