{"id":"W3006753026","doi":"10.1680/jphmg.18.00082","title":"On casting clay specimens of bespoke shear strength and sensitivity for landslide modelling","year":2020,"lang":"en","type":"article","venue":"International Journal of Physical Modelling in Geotechnics","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"","keywords":"Geotechnical engineering; Water content; Geology; Shear strength (soil); Portland cement; Materials science; Centrifuge; Cement; Direct shear test; Soil water; Shear (geology); Composite material; Soil science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001925448,0.0003085845,0.0001016471,0.0003391551,0.0001460429,0.0001745106,0.000167477,0.0002103894,0.002161801],"category_scores_gemma":[0.0004484605,0.000236202,0.0001344677,0.0002431431,0.0002373898,0.0001039359,0.0001126647,0.0002669603,0.0002847757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001751839,"about_ca_system_score_gemma":0.0001943037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00260355,"about_ca_topic_score_gemma":0.01800763,"domain_scores_codex":[0.9999056,0.000005977655,0.000006926323,0.00001545075,0.00005364633,0.00001242776],"domain_scores_gemma":[0.9996854,0.00007280852,0.00005407018,0.00007113969,0.00009120754,0.00002538776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000495522,0.00002941395,0.002448408,0.00003715102,0.000005224288,0.00009100253,0.0001267614,0.007396496,0.9840097,0.0001345215,0.00003684901,0.00563494],"study_design_scores_gemma":[0.000006898239,0.0005271248,0.03603011,0.00001985631,0.00002049864,0.0001579938,0.0001521949,0.02924459,0.9316072,0.00007578478,0.002141948,0.0000156495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792637,0.0001079654,0.01686209,0.00001329256,0.00001426391,0.00007856824,0.0003395917,0.0001705341,0.003149919],"genre_scores_gemma":[0.9822556,0.0001171536,0.01474882,0.000004325651,0.000001216208,0.00001679079,0.0002049288,0.00004006879,0.002611192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00260355,"threshold_uncertainty_score":0.007231951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101314708942839,"score_gpt":0.2508544993428881,"score_spread":0.2298413522534597,"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."}}