{"id":"W7097689317","doi":"","title":"Development of Tools for Improved Spring Load Restriction Policies in Ontario","year":2015,"lang":"en","type":"article","venue":"","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thermistor; Thunder; Spring (device); Payload (computing); Productivity; Highway maintenance","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":[],"consensus_categories":[],"category_scores_codex":[0.0002231563,0.00004894964,0.00007153225,0.00002385425,0.00001984328,0.00001552907,0.0000542772,0.00002940587,0.0000792212],"category_scores_gemma":[0.00004401416,0.00004533939,0.00001232151,0.00005930849,0.00002465229,0.0002276008,0.0000596397,0.00002119546,0.00002483928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023871,"about_ca_system_score_gemma":0.0000960694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2187458,"about_ca_topic_score_gemma":0.6717727,"domain_scores_codex":[0.9994953,0.000005482151,0.0001941907,0.0001003789,0.00009482259,0.0001097706],"domain_scores_gemma":[0.9998263,0.0000107292,0.00005005695,0.00007390358,0.000007993868,0.00003108404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007513014,0.0000337206,0.6736508,0.000004286745,0.000004151314,1.156025e-7,0.001831284,0.0001631145,0.3169554,0.0002547936,0.0001323029,0.006894879],"study_design_scores_gemma":[0.0004223675,0.00002843877,0.8901732,0.000004738563,0.000002020954,9.89369e-7,0.0002435323,0.00008062765,0.09170284,0.000242964,0.01702294,0.00007533967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956811,7.207627e-7,0.0009393223,0.00002522952,0.0002297429,0.0001961097,4.146821e-7,0.00001492252,0.00291244],"genre_scores_gemma":[0.9459286,3.139299e-7,0.05389318,0.00001289535,0.000009510483,0.00002047324,0.000001373802,0.000003681018,0.0001300038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.453027,"threshold_uncertainty_score":0.7864567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04413469515795788,"score_gpt":0.2370995600181258,"score_spread":0.1929648648601679,"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."}}