{"id":"W4396885736","doi":"10.37965/jdmd.2024.530","title":"Transfer Learning for Prognostics and Health Management: Advances, Challenges, and Opportunities","year":2024,"lang":"en","type":"article","venue":"Journal of Dynamics Monitoring and Diagnostics","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Prognostics; Computer science; Risk analysis (engineering); Engineering; Data science; Medicine; Reliability 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005747369,0.0009931513,0.001144111,0.0009299386,0.0004228272,0.002061206,0.001706422,0.002012866,0.001991363],"category_scores_gemma":[0.01045044,0.0002801402,0.0008394452,0.001258571,0.001458987,0.004178841,0.002352349,0.003257188,0.0008981447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008379698,"about_ca_system_score_gemma":0.001478249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001443356,"about_ca_topic_score_gemma":0.0007490219,"domain_scores_codex":[0.9982979,0.0007432035,0.00009349553,0.000335004,0.0004353517,0.00009506728],"domain_scores_gemma":[0.9944326,0.003872141,0.0001969957,0.000494022,0.0008446011,0.0001595084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001856885,0.0002614614,0.003877633,0.0009587624,0.0001857563,0.0001814496,0.0004089448,0.1092502,0.003185605,0.06010227,0.007403332,0.813999],"study_design_scores_gemma":[0.00002454801,0.0002523942,0.001571733,0.0003126404,0.00006175836,0.0001961852,0.0002592164,0.8208697,0.003358831,0.1555855,0.01744523,0.0000623485],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01767653,0.04675669,0.9192474,0.0094761,0.000538659,0.00009566283,0.0001206153,0.0006024286,0.005485808],"genre_scores_gemma":[0.6981833,0.0579537,0.231714,0.001915046,0.002909253,0.0002599687,0.0005155885,0.0001585808,0.006390675],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005747369,"threshold_uncertainty_score":0.03039533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03240464660839006,"score_gpt":0.2670829262422497,"score_spread":0.2346782796338596,"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."}}