{"id":"W7020657455","doi":"","title":"LTPP InfoPave - Release 2017 - What's New : [brochure]","year":2017,"lang":"en","type":"other","venue":"Rosa P: A digital library for transportation research (United States Department of Transportation)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Selection (genetic algorithm); Data collection; Data analysis; Work (physics)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002039635,0.00184731,0.001088181,0.003973734,0.001142505,0.005737127,0.00285942,0.001816833,0.5351025],"category_scores_gemma":[0.01054412,0.001465102,0.001480443,0.006579959,0.000485488,0.005821243,0.004943415,0.002226474,0.6528341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143559,"about_ca_system_score_gemma":0.003222602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06240098,"about_ca_topic_score_gemma":0.06808197,"domain_scores_codex":[0.9988196,0.0001069433,0.00009753729,0.0001730748,0.0006057415,0.0001970347],"domain_scores_gemma":[0.9936342,0.0007914658,0.0003004091,0.001862953,0.002633162,0.0007778173],"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":[0.00001458419,0.000004971721,0.00006573668,0.00004408956,0.000002410216,0.000003269614,0.000007089074,0.00002299286,0.00002416715,0.0001634538,0.9969528,0.002694473],"study_design_scores_gemma":[0.00003134338,0.000004951596,0.0008273089,0.00008184986,0.000004256002,0.00001285243,0.00002743136,0.0001148833,0.000227411,0.0006884336,0.99796,0.00001924584],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0001661406,0.00008835793,0.001225494,0.0006124296,0.0003222303,0.00008351037,0.9360849,0.01849138,0.04292548],"genre_scores_gemma":[0.0008910449,0.0001988076,0.002023821,0.0003948524,0.0001191566,0.0001980546,0.9328036,0.01539682,0.04797385],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4648975,"threshold_uncertainty_score":0.6631198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04560586552712595,"score_gpt":0.3185845624642043,"score_spread":0.2729786969370783,"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."}}