{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002959377,0.0006604575,0.0004024259,0.002562417,0.00238171,0.00316097,0.001685909,0.0005159685,0.01308064],"category_scores_gemma":[0.008986617,0.0005706123,0.0004523646,0.002811431,0.0008506329,0.002295051,0.001933852,0.0004052818,0.002100798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03188825,"about_ca_system_score_gemma":0.04526263,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9008707,"about_ca_topic_score_gemma":0.9350759,"domain_scores_codex":[0.9981798,0.0002865818,0.0001281924,0.0002305472,0.0007465479,0.0004283304],"domain_scores_gemma":[0.9946823,0.001322171,0.0005753532,0.0004561247,0.002525259,0.0004387952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007776288,0.0008301703,0.09113275,0.0009470694,0.00009303803,0.001288425,0.01272203,0.07871614,0.01671715,0.04912686,0.09434959,0.6532992],"study_design_scores_gemma":[0.0003698373,0.0003008509,0.07833421,0.0004818329,0.0001649979,0.0001822678,0.01553097,0.2873261,0.02372792,0.01236595,0.580882,0.0003331075],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3689465,0.0007306683,0.2589046,0.006740543,0.0001787135,0.005194426,0.009333109,0.03177174,0.3181998],"genre_scores_gemma":[0.5920327,0.001072324,0.3357425,0.0002998935,0.00002560766,0.001162046,0.005364809,0.001140653,0.06315948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09912932,"threshold_uncertainty_score":0.2313666,"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."}}