{"id":"W4379523337","doi":"10.1139/cgj-2023-0105","title":"A hybrid SVR-BO model for predicting the soil thermal conductivity with uncertainty","year":2023,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hyperparameter; Hyperparameter optimization; Support vector machine; Computer science; Machine learning; Reliability (semiconductor); Data mining; Bayesian probability; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001284353,0.000811741,0.0009703804,0.0006952907,0.0002434751,0.0008572887,0.001582762,0.001058676,0.00109414],"category_scores_gemma":[0.00230454,0.0005423349,0.001018986,0.0007416896,0.0004317187,0.001024363,0.00076199,0.001000692,0.0003623466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000486353,"about_ca_system_score_gemma":0.0007872746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008871171,"about_ca_topic_score_gemma":0.00556282,"domain_scores_codex":[0.999392,0.0002218864,0.00003230622,0.0001446818,0.0001493134,0.00005976748],"domain_scores_gemma":[0.999227,0.000433981,0.00007672174,0.0000471636,0.0001931256,0.00002196912],"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":[0.00002176149,0.00001226455,0.0004581547,0.00001936951,0.00002185295,0.00001284764,0.00001052963,0.9906918,0.0006645895,0.0008592262,0.0001257988,0.007101825],"study_design_scores_gemma":[0.000001164903,0.000006754271,0.00006035175,0.000001453484,0.000001859215,0.000002815962,0.000001416992,0.9994223,0.0001276947,0.0002926682,0.00007939907,0.000002139768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03600742,0.0002546838,0.9613312,0.000122785,0.0000212317,0.00003485584,0.000179737,0.0005474358,0.001500614],"genre_scores_gemma":[0.8578367,0.000233622,0.13754,0.00009755127,0.00003891402,0.0002165256,0.0006438571,0.0001278716,0.003265068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008871171,"threshold_uncertainty_score":0.01763904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0189758214485361,"score_gpt":0.2141431457302731,"score_spread":0.195167324281737,"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."}}