{"id":"W3015472080","doi":"10.18280/i2m.190102","title":"Eco-Friendly Power Generator Cum Fitness Analyzer","year":2020,"lang":"fr","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spectrum analyzer; Generator (circuit theory); Power (physics); Computer science; Electrical engineering; Environmental science; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001747548,0.000580913,0.0004100704,0.000694334,0.0002621671,0.0005927032,0.0007953103,0.0004601466,0.03281741],"category_scores_gemma":[0.0003726291,0.0002022144,0.0002272866,0.0003836835,0.0001159036,0.0005657128,0.0004106553,0.0003340011,0.007627488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001611206,"about_ca_system_score_gemma":0.0002198863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003487008,"about_ca_topic_score_gemma":0.0006142603,"domain_scores_codex":[0.9996849,0.00003032508,0.00001496355,0.00008581776,0.0001641215,0.00001979887],"domain_scores_gemma":[0.9997907,0.00004830643,0.00002329886,0.00003870109,0.00008304712,0.0000160267],"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":[0.0007090574,0.0003982021,0.006739493,0.0007093675,0.00005893752,0.0007852417,0.0002300204,0.004749777,0.4858214,0.003911472,0.04211611,0.4537709],"study_design_scores_gemma":[0.0004206294,0.002454462,0.03815958,0.0002134421,0.0001843984,0.00442921,0.0002478665,0.1230288,0.432707,0.00488428,0.3931169,0.0001534672],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1297302,0.0006954072,0.7529606,0.0007160484,0.0004816376,0.001664031,0.004395575,0.02769925,0.08165737],"genre_scores_gemma":[0.7184407,0.0005044259,0.09100392,0.0007474551,0.0001771269,0.001154775,0.002784875,0.0009230438,0.1842637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03281741,"threshold_uncertainty_score":0.1097852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02585847201410928,"score_gpt":0.2645113434157511,"score_spread":0.2386528714016418,"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."}}