{"id":"W4246935338","doi":"10.32920/ryerson.14656473.v1","title":"Performance characteristics of different mineral filler in asphalt concrete mixtures","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Asphalt; Fly ash; Filler (materials); Ultimate tensile strength; Materials science; Cement; Asphalt concrete; Rut; Ground granulated blast-furnace slag; Portland cement; Composite material; Environmental science","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":[0.0002219884,0.0003255314,0.0002030971,0.0005967598,0.000173109,0.0002708012,0.000197588,0.000239455,0.001008575],"category_scores_gemma":[0.0003577254,0.0001487047,0.0001632071,0.0002883438,0.0001403039,0.0002410252,0.0001794655,0.0001426267,0.0002490126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001923465,"about_ca_system_score_gemma":0.0001089439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001844129,"about_ca_topic_score_gemma":0.004780891,"domain_scores_codex":[0.9995885,0.00005026778,0.00003503241,0.00006407733,0.0002136773,0.00004838776],"domain_scores_gemma":[0.9996967,0.0000608642,0.00008001677,0.00001626531,0.00009071256,0.00005553875],"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":[0.0003897321,0.0000493696,0.003921595,0.00004979146,0.00001556425,0.00006000775,0.00005823383,0.001108191,0.9907742,0.00002567032,0.00001893618,0.003528698],"study_design_scores_gemma":[0.000005084902,0.001405963,0.02425195,0.000006316017,0.00005058674,0.0001711376,0.0001253658,0.002516879,0.9707087,0.00001907845,0.0007260227,0.0000130555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991115,0.0001593138,0.0002848503,0.000002954617,0.000001867502,0.000003414274,0.0000455112,0.00001709876,0.0003733526],"genre_scores_gemma":[0.9987425,0.00007383047,0.0003924846,0.00000264105,0.000001073791,0.000002395394,0.00007940767,0.000007120783,0.0006985663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001844129,"threshold_uncertainty_score":0.003666759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165420741616136,"score_gpt":0.2379368898648598,"score_spread":0.2213948157032462,"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."}}