{"id":"W1572998378","doi":"10.14359/51663868","title":"Planar Image-Based Reconstruction of Pervious Concrete Pore Structure and Permeability Prediction","year":2010,"lang":"en","type":"article","venue":"ACI Materials Journal","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pervious concrete; Permeability (electromagnetism); Planar; Materials science; Geotechnical engineering; Geology; Composite material; Computer science; Chemistry; Computer graphics (images); Membrane","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":[0.0002113553,0.0005805671,0.0003438616,0.00131699,0.0001093751,0.0006414005,0.0004791033,0.0007383824,0.003854311],"category_scores_gemma":[0.0007746436,0.0003978067,0.0004730429,0.0008296603,0.0001975876,0.0006448618,0.0004878592,0.0004483846,0.001736853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001923375,"about_ca_system_score_gemma":0.000615549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002716075,"about_ca_topic_score_gemma":0.003629715,"domain_scores_codex":[0.9998641,0.00001220166,0.000005197592,0.00002926551,0.0000669232,0.00002230613],"domain_scores_gemma":[0.9998044,0.00004772891,0.00002442422,0.00002867124,0.00008036449,0.00001446469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005401094,0.0001441563,0.009064637,0.0003705229,0.00009175315,0.0007469249,0.0001934782,0.4198588,0.1514087,0.00247667,0.004973901,0.4101304],"study_design_scores_gemma":[0.000009983602,0.00003734588,0.003466329,0.00001669421,0.00002199563,0.0002482129,0.0000661076,0.9768275,0.01723494,0.0006744361,0.001371356,0.0000251302],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1876035,0.0004177105,0.7991116,0.0001983924,0.00006090252,0.000125885,0.001603556,0.004237073,0.006641371],"genre_scores_gemma":[0.7930629,0.0006213461,0.1976232,0.0000617417,0.0000293264,0.00006691295,0.001982126,0.0002966769,0.006255848],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003854311,"threshold_uncertainty_score":0.01289392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003372974759040556,"score_gpt":0.1878923958034804,"score_spread":0.1845194210444398,"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."}}