{"id":"W615552361","doi":"","title":"Field and Laboratory Evaluation of Recycled Asphalt Shingle Mixes: Canadian Study","year":2011,"lang":"en","type":"article","venue":"Transportation Research Board 90th Annual MeetingTransportation Research Board","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asphalt; Waste management; Engineering; Civil engineering; Reuse; Christian ministry; Shingles; Asphalt pavement; Environmental science; Forensic engineering; Environmental engineering; Materials science; Composite material","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01511421,0.0003590862,0.0004507844,0.001952558,0.0005667218,0.00007764021,0.0004983503,0.0003032692,0.001169174],"category_scores_gemma":[0.0006172064,0.0004003476,0.00008751715,0.002234378,0.0003379563,0.001176323,0.000009585618,0.001095209,0.00004132427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004016429,"about_ca_system_score_gemma":0.001073513,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1675579,"about_ca_topic_score_gemma":0.5329711,"domain_scores_codex":[0.990482,0.001375422,0.001247465,0.0007333719,0.004877736,0.00128395],"domain_scores_gemma":[0.9921034,0.0005443937,0.0001408719,0.0005746701,0.005755541,0.0008811343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001218371,0.000992817,0.8309491,0.001188746,0.0005154964,0.0001077476,0.1147873,0.002521981,0.004692968,0.001936336,0.005817103,0.03527202],"study_design_scores_gemma":[0.002808434,0.00184417,0.9382909,0.0002463288,0.0001629667,2.105313e-7,0.03224542,0.007902157,0.01315358,0.001067032,0.00172229,0.0005565133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913145,0.0004633296,0.000222477,0.000144489,0.0002288672,0.002597901,0.0002390506,0.0001848263,0.004604554],"genre_scores_gemma":[0.9975263,0.0002952966,0.0009169319,0.00003768392,0.00007096166,0.0007860726,0.0001931977,0.00009352469,0.00008004066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3654132,"threshold_uncertainty_score":0.9998448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1134031887107186,"score_gpt":0.3779210521282366,"score_spread":0.264517863417518,"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."}}