{"id":"W2091925799","doi":"10.1680/gein.2010.17.4.193","title":"An analytical method to predict the pullout response of geotextiles","year":2010,"lang":"en","type":"article","venue":"Geosynthetics International","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Geotextile; Geotechnical engineering; Geosynthetics; Displacement (psychology); Nonlinear system; Materials science; Structural engineering; Engineering; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007090654,0.00009211693,0.00009497559,0.00009740146,0.00002679251,0.00002731644,0.0003928495,0.00008539383,0.0001749223],"category_scores_gemma":[0.0004521738,0.00007315241,0.00005072186,0.0001177227,0.00004141605,0.00004380971,0.00003619751,0.0002291713,0.00001755947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001940723,"about_ca_system_score_gemma":0.00001335264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001079594,"about_ca_topic_score_gemma":0.00001197891,"domain_scores_codex":[0.9992399,0.00003674571,0.000212775,0.000120734,0.0002573068,0.0001325595],"domain_scores_gemma":[0.999288,0.0002015399,0.00001803195,0.0003070415,0.0001040067,0.00008134865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003770448,0.00003411657,0.00007678039,0.00000508344,0.00002035287,8.759233e-7,0.0001817199,0.9398056,0.04120429,0.009204057,0.000145196,0.009284241],"study_design_scores_gemma":[0.00006946468,0.00003669408,0.005954814,0.00000817456,0.00001041881,0.000009169908,0.00002993494,0.9691805,0.004268953,0.0004431875,0.01990029,0.00008840727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7150054,0.000005333197,0.2819085,0.0006629106,0.0007192774,0.00009873958,0.00005607967,0.0001975256,0.001346289],"genre_scores_gemma":[0.9945296,0.00000234168,0.005217557,0.0000264249,0.00009617642,0.00001195739,0.000009114787,0.00001935774,0.00008743638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2795242,"threshold_uncertainty_score":0.2983069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008133669933490672,"score_gpt":0.2743959063843626,"score_spread":0.2662622364508719,"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."}}