{"id":"W754848389","doi":"","title":"Overview of Specifications for Unbound Granular Base Materials in Selected Canadian Provinces and Neighbouring States","year":2014,"lang":"en","type":"article","venue":"Transportation 2014: Past, Present, Future - 2014 Conference and Exhibition of the Transportation Association of Canada // Transport 2014 : Du passé vers l'avenir - 2014 Congrès et Exposition de 'Association des transports du Canada","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gradation; Sieve (category theory); Granular material; Sieve analysis; Base course; Base (topology); Work (physics); Material Design; Engineering; Environmental science; Civil engineering; Computer science; Geotechnical engineering; Materials science; Mechanical engineering; Composite material; Mathematics; Asphalt","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"],"consensus_categories":[],"category_scores_codex":[0.001461921,0.0005099779,0.000853027,0.0003004366,0.0003088517,0.00005338113,0.0002712054,0.000357858,0.0003560444],"category_scores_gemma":[0.00004394917,0.0005478805,0.0001659114,0.0003714348,0.0001192747,0.0008032444,0.000002140523,0.0002887247,6.293044e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616487,"about_ca_system_score_gemma":0.00255544,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6830098,"about_ca_topic_score_gemma":0.9935682,"domain_scores_codex":[0.9955036,0.0002801867,0.001847794,0.0005089297,0.001173828,0.0006856445],"domain_scores_gemma":[0.9960454,0.000372593,0.00147795,0.0003086206,0.001471687,0.000323799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003429283,0.0001702592,0.9022509,0.002739219,0.0004579564,0.000007325561,0.005540797,0.03973347,0.0118341,0.006538957,0.02986909,0.0005149896],"study_design_scores_gemma":[0.002827252,0.0001061081,0.9634427,0.0003341077,0.0004940158,0.000001461516,0.0006317993,0.002344121,0.01726176,0.0005559484,0.01140402,0.0005967563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818093,0.0003243254,0.006151619,0.003819037,0.0006935984,0.001576616,0.005387535,0.00006223979,0.0001757829],"genre_scores_gemma":[0.991515,0.002973611,0.0003904637,0.0001755329,0.0001721172,0.0001909949,0.004420515,0.00006546481,0.00009634891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3105584,"threshold_uncertainty_score":0.9996973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112187772022422,"score_gpt":0.2047825022808225,"score_spread":0.1936606245605983,"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."}}