{"id":"W4317653571","doi":"10.1177/1045389x221151064","title":"Validation and optimization of two models for the magnetic restoring forces using a multi-stable piezoelectric energy harvester","year":2023,"lang":"en","type":"article","venue":"Journal of Intelligent Material Systems and Structures","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnet; Cantilever; Control theory (sociology); Sensitivity (control systems); Parametric statistics; Stability (learning theory); Beam (structure); Point (geometry); Vibration; Dipole; Population; Genetic algorithm; Piezoelectricity; Physics; Engineering; Acoustics; Computer science; Mechanical engineering; Structural engineering; Mathematics; Electronic engineering; Mathematical optimization","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002682961,0.0001025343,0.0001904753,0.0002160776,0.00007224017,0.0001526656,0.00008902641,0.00005537392,0.000001316215],"category_scores_gemma":[0.0000561617,0.00006876634,0.00002285821,0.0001791796,0.00003274896,0.0002466891,0.00002686351,0.00004781434,1.220281e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003056552,"about_ca_system_score_gemma":0.000009560132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001325098,"about_ca_topic_score_gemma":0.000003152162,"domain_scores_codex":[0.9992741,0.00002452112,0.0004036764,0.00006769798,0.0001074694,0.000122582],"domain_scores_gemma":[0.9994895,0.00007503655,0.0001999501,0.00007275852,0.0001468517,0.00001590697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001988794,0.00000130092,0.00004905365,0.0001359143,0.00003725948,6.636496e-7,0.0001129975,0.9537482,0.03698256,0.007084139,0.00001724046,0.001810749],"study_design_scores_gemma":[0.0001812279,0.0000764885,0.00007742597,0.0001074818,0.00003015759,0.00004193095,0.0001859287,0.9153401,0.08216637,0.001637823,0.00007418506,0.00008087129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4998088,0.0008770507,0.4985986,0.000003908255,0.0006017809,0.00007198487,0.000005869995,0.00002883275,0.000003153493],"genre_scores_gemma":[0.9896401,0.0003985458,0.009761639,0.000001355592,0.0001413364,0.000005874296,0.000002218437,0.00001845711,0.00003050496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4898312,"threshold_uncertainty_score":0.280421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04455633950845297,"score_gpt":0.2656112058381287,"score_spread":0.2210548663296757,"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."}}