{"id":"W4288280154","doi":"","title":"A micromechanical, µunsat, approach for wet granular soils","year":2019,"lang":"en","type":"other","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Soil water; Computer science; Environmental science; Soil science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001652587,0.000565158,0.0004184828,0.0007253772,0.0003344402,0.0005815776,0.0008020347,0.0007765382,0.001813688],"category_scores_gemma":[0.0004404836,0.0003112579,0.0004426847,0.0003937263,0.0006745842,0.0006896615,0.0005476098,0.000589304,0.0005069427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005208719,"about_ca_system_score_gemma":0.0004780591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001628289,"about_ca_topic_score_gemma":0.001717947,"domain_scores_codex":[0.9999021,0.00001719045,0.000005831828,0.00002355154,0.00004071981,0.00001051311],"domain_scores_gemma":[0.9998546,0.00005028475,0.00002315318,0.00002519849,0.00003396086,0.00001280915],"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":[0.00002987823,0.00008194426,0.0007235567,0.0003485962,0.00005007967,0.0003636234,0.0001406104,0.7138166,0.06484471,0.1689362,0.001501192,0.04916306],"study_design_scores_gemma":[0.000006686216,0.00001880072,0.0002167881,0.00001127129,0.000004993152,0.00007903502,0.00002113779,0.9679235,0.002067542,0.02401132,0.005625818,0.00001306779],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01782004,0.0007186963,0.97054,0.0003629817,0.0001397481,0.00006551368,0.0001758406,0.0001685036,0.01000865],"genre_scores_gemma":[0.565663,0.002840385,0.4082015,0.0003823069,0.0002964854,0.0004960004,0.0003647587,0.000209584,0.02154604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001813688,"threshold_uncertainty_score":0.006067336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007954441332137753,"score_gpt":0.1844203870516889,"score_spread":0.1764659457195512,"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."}}