{"id":"W2339534089","doi":"","title":"City of Winnipeg's Experience with Recycled Asphalt Shingles (RAS) in Hot Mix Asphalt (HMA)","year":2014,"lang":"en","type":"article","venue":"","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overlay; Asphalt; Asphalt pavement; Shingles; Forensic engineering; Civil engineering; Engineering; Waste management; Medicine; Geography; Computer science; Archaeology","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":[0.001828411,0.0004275214,0.0003332756,0.0004371316,0.004439926,0.001666879,0.001082544,0.0004403258,0.002335194],"category_scores_gemma":[0.002260269,0.0003991568,0.0002385365,0.0008249391,0.001442992,0.0006286905,0.001772808,0.0004854665,0.0002808216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009887877,"about_ca_system_score_gemma":0.0137308,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.847837,"about_ca_topic_score_gemma":0.9674789,"domain_scores_codex":[0.9984477,0.0004026331,0.00003760646,0.0001695878,0.0004838029,0.0004586083],"domain_scores_gemma":[0.9988046,0.0001297296,0.00007820618,0.00005192513,0.0005159109,0.0004196388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002289789,0.002962051,0.3326445,0.001336102,0.000169111,0.01384002,0.2778714,0.004326868,0.05887142,0.003204848,0.01143577,0.2910481],"study_design_scores_gemma":[0.0001281187,0.004557205,0.506187,0.0003177291,0.0001882384,0.002764317,0.2709448,0.001890162,0.02560624,0.0003422911,0.1868632,0.000210831],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928321,0.0002265491,0.0002582549,0.0004073985,0.00001254016,0.000109522,0.00009361725,0.00001319388,0.006046912],"genre_scores_gemma":[0.9891015,0.0006041388,0.001678148,0.0001707225,0.000004883057,0.00003644642,0.0001010472,0.00001845427,0.008284863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.152163,"threshold_uncertainty_score":0.3061181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01995118624266292,"score_gpt":0.2499807364890608,"score_spread":0.2300295502463978,"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."}}