{"id":"W4308548014","doi":"10.3390/polym14214717","title":"Investigating the Bond Strength of FRP Laminates with Concrete Using LIGHT GBM and SHAPASH Analysis","year":2022,"lang":"en","type":"article","venue":"Polymers","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"King Faisal University","keywords":"Fibre-reinforced plastic; Materials science; Structural engineering; Groove (engineering); Linear regression; Compressive strength; Regression analysis; Random forest; Gradient boosting; Composite material; Nonlinear regression; Computer science; Machine learning; Engineering","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":[0.00007527704,0.0001422987,0.0002131245,0.0001341201,0.0001562206,0.0000252855,0.0001567701,0.00002389535,0.0001189914],"category_scores_gemma":[0.00001037482,0.0001080082,0.00005842417,0.000612922,0.0001197585,0.00008311689,0.00008016686,0.0001725652,2.137109e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000493914,"about_ca_system_score_gemma":0.00002082952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003070792,"about_ca_topic_score_gemma":0.000003693541,"domain_scores_codex":[0.9992408,0.00002325947,0.0001797841,0.0001342991,0.0002232943,0.0001986148],"domain_scores_gemma":[0.9995786,0.00007709312,0.00007928615,0.0001898156,0.00001499578,0.00006022181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002510586,2.65025e-7,0.03547753,0.00009981603,0.001864458,0.00001893741,0.007099933,0.07976699,0.8657573,0.00100496,0.00007063591,0.008813997],"study_design_scores_gemma":[0.0007997184,0.0001524369,0.01460399,0.00003948709,0.002294398,0.00005844296,0.007484717,0.3566707,0.6167935,0.00002252819,0.0003672018,0.0007129632],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983438,0.0008242506,0.00004916711,0.00003434531,0.00004579345,0.00008282533,0.00003096386,0.0000651719,0.0005237405],"genre_scores_gemma":[0.998719,0.000006294345,0.001149675,0.00003055081,0.00001383796,0.000009112901,0.00001036706,0.00002230151,0.0000388261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2769037,"threshold_uncertainty_score":0.4404448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009330021268829924,"score_gpt":0.2089760206809206,"score_spread":0.1996459994120907,"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."}}