{"id":"W640920949","doi":"10.33593/iccp.v10i1.441","title":"The Search for the Best Concrete Surface Texture Relative to Noise and Skid Resistance in Québec","year":2025,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Concrete Pavements","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Skid (aerodynamics); Resistance (ecology); Noise (video); Forensic engineering; Geotechnical engineering; Surface finish; Materials science; Geology; Environmental science; Composite material; Engineering; Computer science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0005202663,0.0001256107,0.0001161421,0.0000237424,0.0002714887,0.0001307008,0.00078153,0.00004399954,0.00006769712],"category_scores_gemma":[0.0003083429,0.00007314602,0.00004033003,0.0001598126,0.0003506025,0.0001620495,0.0004132837,0.0001401648,0.00001478192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002415753,"about_ca_system_score_gemma":0.00005480416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002014549,"about_ca_topic_score_gemma":0.001510922,"domain_scores_codex":[0.9988697,0.00001592603,0.0002662627,0.0002732167,0.0003954176,0.000179541],"domain_scores_gemma":[0.999263,0.0003007537,0.000144325,0.0001218089,0.0001389151,0.00003118409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001076031,0.000006453892,0.4153659,0.00004337449,0.0001655679,2.728959e-7,0.0017638,0.00004698339,0.4011613,0.1745077,0.004741245,0.001121355],"study_design_scores_gemma":[0.004422213,0.0004846044,0.3493516,0.001889122,0.0001551327,0.000005771386,0.00881994,0.01138258,0.5067757,0.02350255,0.09235355,0.0008571478],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665642,0.00003417972,0.00003315919,0.01714857,0.0004345113,0.0008111983,0.00003349834,0.000007545026,0.01493312],"genre_scores_gemma":[0.9949307,0.00004699519,0.0002768822,0.00043666,0.00002042493,0.00007664688,9.708883e-7,0.000007176417,0.004203476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1510052,"threshold_uncertainty_score":0.3045408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01897420133877102,"score_gpt":0.2721150829298757,"score_spread":0.2531408815911046,"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."}}