{"id":"W4412444760","doi":"10.1109/access.2025.3589280","title":"Compensation Method, Diakoptics, and MATE","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Compensation (psychology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004119763,0.0004900357,0.0003972885,0.0005174184,0.0003663801,0.0007017038,0.0005966565,0.0006866974,0.004791325],"category_scores_gemma":[0.001581729,0.0001983362,0.0002626968,0.0005746243,0.0008499183,0.001448326,0.0007137695,0.001116688,0.001589207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002684375,"about_ca_system_score_gemma":0.0003351587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005034123,"about_ca_topic_score_gemma":0.0006108673,"domain_scores_codex":[0.9996769,0.00008443948,0.00001598647,0.00006343977,0.0001367987,0.00002240921],"domain_scores_gemma":[0.9997885,0.00007950857,0.00002431284,0.00004248893,0.00005333597,0.00001180091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001476375,0.00003267873,0.0004117854,0.0002402074,0.00001925626,0.0001536177,0.0001399009,0.06783044,0.01622455,0.5712141,0.008348693,0.3352371],"study_design_scores_gemma":[0.00004609798,0.0001543133,0.0006829934,0.00008436863,0.00002137094,0.001097304,0.00008535695,0.6251642,0.01992002,0.2227943,0.1298721,0.0000775774],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002797703,0.0009342966,0.9802492,0.0004743591,0.0004345873,0.00001714549,0.00002479635,0.0002477252,0.01482029],"genre_scores_gemma":[0.3331552,0.003298966,0.6227009,0.001168394,0.0007961703,0.0001089489,0.0001673267,0.0004271497,0.03817707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004791325,"threshold_uncertainty_score":0.01602858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500856909926826,"score_gpt":0.3090288940127309,"score_spread":0.2940203249134627,"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."}}