{"id":"W2170196258","doi":"10.7158/c12-028.2013.11.1","title":"Repeatability and reproducibility of micro-surfacing mixture design tests and effect of total aggregates surface areas on the test results","year":2013,"lang":"en","type":"article","venue":"Australian Journal of Civil Engineering","topic":"Materials Engineering and Processing","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Reproducibility; Repeatability; Test (biology); Engineering; Forensic engineering; Environmental science; Materials science; Statistics; Mathematics; Geology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0155937,0.001171152,0.0007763695,0.00135886,0.0005899643,0.0007482473,0.0008239858,0.0008371031,0.001005226],"category_scores_gemma":[0.02511236,0.0005693275,0.0009548191,0.0009989343,0.0007172942,0.0004448782,0.001076685,0.0004977382,0.0006144863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004031302,"about_ca_system_score_gemma":0.0003754008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001153618,"about_ca_topic_score_gemma":0.003490309,"domain_scores_codex":[0.9745638,0.007309448,0.003105573,0.004002916,0.01050828,0.0005099754],"domain_scores_gemma":[0.972064,0.00947509,0.003213275,0.005990208,0.008961514,0.0002959016],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001765201,0.0006804277,0.09925141,0.0004901011,0.0005357879,0.0001894033,0.001375154,0.0039252,0.7940027,0.0003031538,0.0006900072,0.09679146],"study_design_scores_gemma":[0.0001038975,0.007953936,0.284088,0.00004972689,0.0005572043,0.0007523152,0.0005266735,0.01380618,0.6854411,0.0004587749,0.006106272,0.0001558478],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7926854,0.0009356683,0.199525,0.0001017603,0.0002514578,0.001219581,0.0008692981,0.001171361,0.003240495],"genre_scores_gemma":[0.8437625,0.0001934075,0.1510499,0.0001285853,0.00006595808,0.00103469,0.0009211437,0.000317435,0.002526418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9844063,"threshold_uncertainty_score":0.08246839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091444004966171,"score_gpt":0.2072352023615052,"score_spread":0.1963207623118435,"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."}}