{"id":"W2752980628","doi":"10.1007/978-3-319-56475-3_39","title":"Illustrative Case Study: Life Cycle Assessment of Four Window Alternatives","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Window (computing); Therapeutic window; Life-cycle assessment; Computer science; Economics; Medicine; World Wide Web; Macroeconomics","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004003717,0.0004318618,0.0005543245,0.00004260514,0.0002575883,0.00004910046,0.0004471835,0.0001745666,0.01326334],"category_scores_gemma":[0.00004256736,0.0003576183,0.0001924846,0.00001001715,0.0009199844,0.0003445344,0.0007076876,0.0003767246,0.0001029482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005624641,"about_ca_system_score_gemma":0.00005612854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002963332,"about_ca_topic_score_gemma":0.001654023,"domain_scores_codex":[0.9979522,0.0000633275,0.0004547533,0.0005878305,0.0006519119,0.0002899652],"domain_scores_gemma":[0.9981893,0.00007415562,0.0005095903,0.0009475573,0.00001261314,0.0002667852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001989856,0.005110793,0.8501551,0.0003114867,0.002395147,0.03177601,0.01752579,0.005337924,0.0004775702,0.01502765,0.002465585,0.06921797],"study_design_scores_gemma":[0.00445313,0.004993735,0.9152188,0.0001471424,0.0007217341,0.001042524,0.0248457,0.001773482,0.0002346883,0.02752312,0.01572987,0.003316113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3110007,0.00001077798,0.00007795042,0.00005112162,0.00006865434,0.0008964653,0.00003340803,0.00001863212,0.6878422],"genre_scores_gemma":[0.695533,0.00001617203,0.0003081899,0.00003936257,0.00003557842,0.00001317733,0.000003777048,0.0000280751,0.3040226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3845323,"threshold_uncertainty_score":0.9998876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03624758641123878,"score_gpt":0.3225650822853573,"score_spread":0.2863174958741185,"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."}}