{"id":"W7016033350","doi":"","title":"USE ATYPICAL ASPHALT BINDERS FROM ALBERTA OILSAND SOURCES FOR THE EFFECTIVE RECYCLING OF ASPHALT PAVEMENT","year":2021,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Asphalt; Dynamic shear rheometer; Asphalt pavement; Rheology; Diesel fuel; Rheometer; Polyethylene terephthalate; Compaction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001778684,0.0004083856,0.000239093,0.0004924189,0.0005077788,0.0004993561,0.000417416,0.0002021749,0.0009878408],"category_scores_gemma":[0.0001727408,0.0001353899,0.0002502922,0.0004390326,0.0001842165,0.0002547569,0.0002787813,0.000292812,0.0002152587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007950762,"about_ca_system_score_gemma":0.0006828828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02927735,"about_ca_topic_score_gemma":0.139527,"domain_scores_codex":[0.9997165,0.00001383881,0.00001636222,0.00004164716,0.0001488969,0.00006285644],"domain_scores_gemma":[0.9998987,0.000008468181,0.00003057619,0.00001159993,0.00003473756,0.00001591989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001354492,0.00006318332,0.001495161,0.00007247584,0.00001088572,0.00009115648,0.00007157069,0.0003797348,0.9905859,0.00003787409,0.0000331999,0.007023474],"study_design_scores_gemma":[0.000005365425,0.0003217557,0.009535956,0.00000848679,0.00003793694,0.00007015906,0.00009110508,0.0003903158,0.98778,0.0000107739,0.001738871,0.000009197533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985084,0.0001941347,0.0003583012,0.000008241653,0.000003505072,0.00001417989,0.00005806156,0.0000200065,0.0008352593],"genre_scores_gemma":[0.9947335,0.0003897966,0.002493809,0.0000114347,0.000001742332,0.0000130047,0.0001441128,0.00001579145,0.002196856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02927735,"threshold_uncertainty_score":0.05821389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009142226607916352,"score_gpt":0.2201799074836533,"score_spread":0.211037680875737,"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."}}