{"id":"W4403838731","doi":"10.1115/smasis2024-141025","title":"Biocompatible Energy Harvester for Smart Knee Implants","year":2024,"lang":"en","type":"article","venue":"","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Biocompatible material; Energy harvesting; Computer science; Materials science; Energy (signal processing); Biomedical engineering; Engineering; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.00005403532,0.0001262413,0.0001330157,0.00009789326,0.00001802789,0.0001665641,0.00008298504,0.00005953083,0.0000625363],"category_scores_gemma":[7.902988e-7,0.0001093194,0.00006881468,0.0001026412,0.00000736169,0.0002344392,0.000006276748,0.00004416264,0.000104291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002653355,"about_ca_system_score_gemma":0.00001079806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009340898,"about_ca_topic_score_gemma":0.0002210736,"domain_scores_codex":[0.9993742,0.000005519504,0.0001668802,0.0001485377,0.00007458708,0.0002303276],"domain_scores_gemma":[0.9997267,0.00005357855,0.000002251069,0.0001483213,0.00001103344,0.00005807398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003465906,0.00007277692,0.001399951,0.005592662,0.001189872,0.00007096407,0.001608811,0.005188323,0.1035719,0.2353018,0.5354934,0.110475],"study_design_scores_gemma":[0.0003249576,0.00005546263,0.0002231192,0.0001906439,0.00002239562,0.00002551443,0.00003338825,0.1082697,0.07420887,0.0002624983,0.816016,0.0003673606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02796654,0.001393872,0.9373775,0.00008506304,0.003972883,0.0002542888,0.00008512298,0.001891433,0.02697332],"genre_scores_gemma":[0.9917594,0.00001338256,0.0004310755,0.00003815206,0.0001791805,0.0001182962,0.00002279101,0.00005881086,0.007378876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9637929,"threshold_uncertainty_score":0.4457915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0106827440298021,"score_gpt":0.2117774967268547,"score_spread":0.2010947526970526,"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."}}