{"id":"W7117764744","doi":"10.3390/make8010006","title":"Research Frontiers in Machine Learning &amp; Knowledge Extraction","year":2025,"lang":"en","type":"article","venue":"Machine Learning and Knowledge Extraction","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Eusko Jaurlaritza; Austrian Science Fund","keywords":"Transparency (behavior); Underpinning; Software deployment; Cornerstone; Applications of artificial intelligence; Embedding; Domain (mathematical analysis); Knowledge integration","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":[0.01481519,0.001076838,0.001104573,0.004685076,0.001899849,0.01148465,0.00289647,0.005876476,0.009339812],"category_scores_gemma":[0.02090347,0.0006724233,0.001228535,0.005374362,0.01414804,0.01865996,0.004443045,0.006519648,0.003306652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004247347,"about_ca_system_score_gemma":0.006677959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002100854,"about_ca_topic_score_gemma":0.001200973,"domain_scores_codex":[0.9908298,0.00482765,0.000455996,0.001233414,0.002264648,0.0003884165],"domain_scores_gemma":[0.9560737,0.03590004,0.0008867573,0.003572228,0.002792524,0.0007746837],"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":[0.00002806736,0.00007040733,0.0007291448,0.0008299779,0.00003007412,0.00008435813,0.0004874163,0.001749824,0.0003731886,0.8558108,0.009313404,0.1304933],"study_design_scores_gemma":[0.00001059933,0.00002782998,0.0003546885,0.0008023502,0.00001246382,0.0001655737,0.0004795975,0.008232647,0.0007055192,0.8568971,0.1322729,0.00003882072],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.00803364,0.1952402,0.5139451,0.1463758,0.001932068,0.0002587143,0.0005484279,0.001025443,0.1326407],"genre_scores_gemma":[0.3621401,0.1882693,0.4079492,0.01445258,0.005506999,0.0007389559,0.001194392,0.000470169,0.0192782],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01481519,"threshold_uncertainty_score":0.07835108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04255175253055986,"score_gpt":0.3903736406979469,"score_spread":0.347821888167387,"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."}}