{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004035716,0.0005853143,0.0005386523,0.0002368831,0.0001915074,0.0001800095,0.0006515771,0.0006008429,0.001267248],"category_scores_gemma":[0.0007980679,0.0006421902,0.0001608161,0.001426765,0.0003723989,0.0007324528,0.0002353045,0.0008178426,0.0005856831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003593213,"about_ca_system_score_gemma":0.0001505192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006231476,"about_ca_topic_score_gemma":0.00001880137,"domain_scores_codex":[0.9970092,0.0002271857,0.0007993339,0.0006991798,0.000417969,0.0008471113],"domain_scores_gemma":[0.9987004,0.0001406132,0.0002528864,0.0004752768,0.0002554379,0.0001753555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002479989,0.0002883803,0.0837547,0.0007055203,0.001861732,0.0005849311,0.003398299,0.212976,0.1085582,0.1968571,0.2219447,0.1688225],"study_design_scores_gemma":[0.006304418,0.002281058,0.0788697,0.0002547867,0.0005149493,0.0000888212,0.003702314,0.06367913,0.4800206,0.009894714,0.3506081,0.00378146],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8907134,0.002282129,0.05096778,0.04388715,0.004752101,0.0003908603,0.0002171431,0.002436534,0.004352916],"genre_scores_gemma":[0.9357098,0.0001576723,0.06124762,0.001634808,0.0004694337,0.00006920756,0.0001114567,0.0001055253,0.00049449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3714624,"threshold_uncertainty_score":0.9996457,"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."}}