{"id":"W4415787203","doi":"10.1080/12269328.2025.2575390","title":"An interpretable framework for predicting weight-on-bit in horizontal wells based on TCL-BO stacking ensemble","year":2025,"lang":"en","type":"article","venue":"Geosystem Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Stacking; Pattern recognition (psychology); Scale (ratio); Ensemble learning","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004923369,0.0004951885,0.0005385253,0.0007099633,0.00008635812,0.0001333926,0.000351163,0.0002944996,0.00000879391],"category_scores_gemma":[0.0001387235,0.000557825,0.0001471168,0.000557378,0.000006951667,0.0001974488,0.00002575823,0.0006035767,0.00001641229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004065795,"about_ca_system_score_gemma":0.00003057222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003021763,"about_ca_topic_score_gemma":0.00001099651,"domain_scores_codex":[0.9978063,0.0000229639,0.0005867403,0.000496484,0.0002439912,0.0008435256],"domain_scores_gemma":[0.9985821,0.0005900274,0.00004345284,0.0005980832,0.00003801441,0.0001483333],"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":[0.0000308155,0.00003398665,0.0008164979,0.001053356,0.00005231948,0.00001165793,0.00017171,0.9886719,0.003255092,0.004269785,0.00005049583,0.001582392],"study_design_scores_gemma":[0.000610029,0.0001376863,0.0002326231,0.004273392,0.00002183196,0.00000209214,0.00008127379,0.981717,0.0104685,0.0001076367,0.001867187,0.0004807466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1420596,0.0002828249,0.8506072,0.00002253042,0.002942386,0.0005710601,0.0000336898,0.001430906,0.002049799],"genre_scores_gemma":[0.986981,0.00001099897,0.01216882,0.00004138214,0.0003587854,0.0002149599,0.0000250633,0.0001587103,0.00004021513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8449215,"threshold_uncertainty_score":0.9996873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003989624683678592,"score_gpt":0.2101940899132265,"score_spread":0.2062044652295479,"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."}}