{"id":"W2606947134","doi":"10.1117/12.2260404","title":"Conductive polymer sensor arrays for smart orthopaedic implants","year":2017,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Polyaniline; Materials science; Electrical conductor; Piezoresistive effect; Substrate (aquarium); Conductive polymer; Composite material; Polymer; Computer science","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":[0.0002674696,0.0004115059,0.0002462728,0.0002568545,0.0001015713,0.000378724,0.0005225127,0.0006688381,0.001416124],"category_scores_gemma":[0.0004989328,0.0002991137,0.0001799451,0.0001616993,0.000225728,0.0007278888,0.0002974008,0.0004262308,0.0007701823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002532051,"about_ca_system_score_gemma":0.0001450369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008874822,"about_ca_topic_score_gemma":0.0002519145,"domain_scores_codex":[0.9995292,0.00005462747,0.00002187702,0.000105813,0.0002563141,0.00003207493],"domain_scores_gemma":[0.9997173,0.00009038585,0.00008012042,0.00002358346,0.0000718497,0.00001681731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002105588,0.00001188004,0.00006818048,0.00007865507,0.000003838282,0.00003292396,0.0000175003,0.0003894431,0.9876394,0.0002498042,0.0001588284,0.01132837],"study_design_scores_gemma":[0.00000534983,0.0001269345,0.0003467457,0.00000459317,0.000006842426,0.0001978997,0.00001161438,0.005319674,0.9893391,0.0001248544,0.004505535,0.00001093251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5115834,0.01891513,0.4466814,0.001347136,0.0007010186,0.0002616589,0.0005380666,0.002797992,0.01717427],"genre_scores_gemma":[0.7670205,0.002979788,0.2207199,0.0004295706,0.000171536,0.0001456008,0.0001928151,0.00009474481,0.00824568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001416124,"threshold_uncertainty_score":0.004737377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01835794743562157,"score_gpt":0.2433726854137422,"score_spread":0.2250147379781206,"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."}}