{"id":"W349578268","doi":"","title":"Environmental footprint of building elements using Life Cycle Analysis methodology","year":2013,"lang":"fr","type":"preprint","venue":"DSpace (Centre National De La Recherche Scientifique)","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Doors; Footprint; Life-cycle assessment; Function (biology); Computer science; Architectural engineering; Dimension (graph theory); Component (thermodynamics); Ecological footprint; Product (mathematics); Engineering; Production (economics); Mechanical engineering; Sustainability; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01800175,0.0006743157,0.001007839,0.00122999,0.0001965799,0.0002935318,0.0008456766,0.001551856,0.001563786],"category_scores_gemma":[0.003950828,0.0007976952,0.0007520649,0.001582668,0.000411923,0.0001859796,0.0008281058,0.001953001,0.00003038902],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008156875,"about_ca_system_score_gemma":0.001476216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001376547,"about_ca_topic_score_gemma":0.00002918813,"domain_scores_codex":[0.9886222,0.006749763,0.00112389,0.001158969,0.001307361,0.001037783],"domain_scores_gemma":[0.9928934,0.004867106,0.0007103917,0.0006022637,0.0004453473,0.0004814911],"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":[0.00002231437,0.0003878963,0.008596008,0.0005115406,0.003116803,0.00001192653,0.001784757,0.7883406,0.1569778,0.03157674,0.0005347194,0.00813888],"study_design_scores_gemma":[0.0007663218,0.00001599741,0.0150204,0.0003334531,0.001538424,0.00001153749,0.001599187,0.8740268,0.04251728,0.05860085,0.004655563,0.0009142121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4974143,0.001088143,0.4972955,0.0008501004,0.0006636467,0.0007400998,0.0001411441,0.00009234852,0.001714704],"genre_scores_gemma":[0.409156,0.0003273728,0.587437,0.00004882026,0.0001377602,0.00004198924,0.00009068365,0.00007474515,0.002685609],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1144605,"threshold_uncertainty_score":0.9997444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1848508447223333,"score_gpt":0.387710692573309,"score_spread":0.2028598478509757,"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."}}