{"id":"W4400666809","doi":"","title":"Development of Sound Insulation Prediction Tool by Integration of Life Cycle Assessment","year":2024,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Resources Canada; Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Ministère des Ressources Naturelles et de la Faune; FPInnovations","keywords":"Sound (geography); Computer science; Life-cycle assessment; Soundproofing; Acoustics; Production (economics); Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004082184,0.0007226252,0.0005828731,0.001107938,0.0002409648,0.0007590175,0.0008313389,0.0006784516,0.003160461],"category_scores_gemma":[0.00124901,0.000323373,0.0006624669,0.0006407141,0.0001108422,0.000955163,0.0004101025,0.0004130194,0.001396862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002337611,"about_ca_system_score_gemma":0.0005585614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002332436,"about_ca_topic_score_gemma":0.001507233,"domain_scores_codex":[0.9997879,0.00002473973,0.00001524405,0.00004229751,0.0001118775,0.00001796325],"domain_scores_gemma":[0.999433,0.0001496185,0.00004194689,0.00005931153,0.0002937659,0.00002238134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001117344,0.0002457992,0.00818978,0.0003277205,0.0001101404,0.0002528066,0.0001107433,0.3589187,0.06283691,0.003675415,0.004388405,0.5608318],"study_design_scores_gemma":[0.000007860081,0.00005043511,0.00140411,0.0000198513,0.00003180535,0.00006807315,0.00001765236,0.977854,0.01506379,0.001549011,0.003916686,0.00001678449],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03261479,0.0002035418,0.9581217,0.00006200083,0.00004388625,0.00007166751,0.0003284227,0.004805094,0.00374901],"genre_scores_gemma":[0.5189632,0.0004140834,0.4739877,0.00006427532,0.00004005022,0.0002251095,0.001541439,0.00040193,0.004362235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003160461,"threshold_uncertainty_score":0.01057273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316001056597339,"score_gpt":0.2433944660854462,"score_spread":0.2302344555194728,"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."}}