{"id":"W581052994","doi":"","title":"Porous Asphalt Pavements in Minnesota","year":2010,"lang":"en","type":"article","venue":"HMAT: Hot Mix Asphalt Technology","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asphalt; Geotextile; Geotechnical engineering; Aggregate (composite); Asphalt pavement; Environmental science; Civil engineering; Rut; Engineering; Archaeology; Materials science; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009289774,0.0001280632,0.00006210917,0.0004538549,0.001262329,0.0005892672,0.0002261879,0.0001195147,0.002308636],"category_scores_gemma":[0.000188186,0.0001528422,0.00008820227,0.0004603868,0.0003839936,0.0002665371,0.0007597368,0.0001636849,0.0001881363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003031143,"about_ca_system_score_gemma":0.002861858,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5468313,"about_ca_topic_score_gemma":0.8723439,"domain_scores_codex":[0.9998721,0.00001010452,0.000004720428,0.0000305428,0.0000425953,0.00003997514],"domain_scores_gemma":[0.9998318,0.00001104312,0.0000292122,0.000008647932,0.00004549309,0.00007376804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003244355,0.0004551165,0.6531799,0.0003568174,0.00006935962,0.004129367,0.008556467,0.01430901,0.05502694,0.01898605,0.01491685,0.2296897],"study_design_scores_gemma":[0.000009147765,0.0002820109,0.878336,0.00007002689,0.00003690904,0.0007278601,0.005714413,0.003200563,0.004477915,0.0007836036,0.1063351,0.0000263683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760748,0.0003498565,0.00135581,0.0002448724,0.0000129391,0.00004064106,0.0007331001,0.00008192732,0.02110603],"genre_scores_gemma":[0.9895999,0.0002736775,0.001300202,0.00002413642,0.000002269361,0.000008535013,0.0002686119,0.000005662806,0.0085171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5468313,"threshold_uncertainty_score":0.911675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008213410348582006,"score_gpt":0.2202450501409363,"score_spread":0.2120316397923543,"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."}}