{"id":"W1942431850","doi":"10.1139/t2012-037","title":"Investigation of the vertical uplift capacity of deep water mudmats in clay","year":2012,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council; Dalian University of Technology; National Natural Science Foundation of China","keywords":"Geology; Geotechnical engineering; Centrifuge; Subsea; Suction; Pore water pressure; Seabed; Submarine pipeline; Effective stress; Bearing capacity; Offshore geotechnical engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003251976,0.0001153525,0.0001924566,0.000154724,0.00004288057,0.0000106984,0.0002575107,0.0002280254,0.00005233291],"category_scores_gemma":[0.0001105062,0.00007602142,0.00009488305,0.0001893301,0.0001272472,0.0000999039,0.00002184433,0.0007143868,0.000002788564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001876442,"about_ca_system_score_gemma":0.00004647253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00139783,"about_ca_topic_score_gemma":0.001321549,"domain_scores_codex":[0.9988762,0.00003559101,0.0003884749,0.00006274976,0.0001801878,0.0004568649],"domain_scores_gemma":[0.9992965,0.00003789552,0.00002020573,0.0001986,0.00003478487,0.0004120124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00000813424,0.00001628475,0.008599509,0.0001281099,0.00005546052,0.000007741719,0.0006027062,0.8308532,0.1527072,0.00485656,0.0004951852,0.001669946],"study_design_scores_gemma":[0.001021861,0.00009662348,0.5088319,0.0003410611,0.00008825184,0.0006836175,0.00009235097,0.1921249,0.2742079,0.01641738,0.005313577,0.000780557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937415,0.0001564563,0.005124564,0.0003140245,0.0003781222,0.0000735677,0.000003617667,0.00003021172,0.0001779359],"genre_scores_gemma":[0.9995419,0.00000821042,0.0002970999,0.00005702913,0.00007403982,0.000002309893,9.282149e-7,0.00001584083,0.000002657932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6387282,"threshold_uncertainty_score":0.3103695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130185529830906,"score_gpt":0.181454233648964,"score_spread":0.1701523783506549,"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."}}