{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006501157,0.0007977415,0.0004481956,0.0008715325,0.001128813,0.001859955,0.001197997,0.0019077,0.01335471],"category_scores_gemma":[0.001481531,0.0002449525,0.0008083954,0.001385995,0.000488493,0.001276123,0.0008844635,0.0009020474,0.0006526971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526723,"about_ca_system_score_gemma":0.0008673308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00797406,"about_ca_topic_score_gemma":0.01438096,"domain_scores_codex":[0.9996271,0.0001330488,0.0000131939,0.00003234752,0.0001356351,0.00005861559],"domain_scores_gemma":[0.9994681,0.0003672672,0.00002248502,0.00002659427,0.00007682819,0.00003869185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009811998,0.00126795,0.004263638,0.0009910404,0.0001367572,0.005235955,0.001047813,0.6722665,0.01823056,0.1199841,0.01457424,0.1610203],"study_design_scores_gemma":[0.0003100607,0.002177406,0.007077081,0.000419728,0.0002643132,0.001534882,0.006085127,0.7126938,0.02872681,0.1490774,0.09145582,0.0001776465],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5726345,0.002921659,0.1494726,0.001878052,0.0002265462,0.001146166,0.001824404,0.0003208159,0.2695752],"genre_scores_gemma":[0.8973143,0.001291154,0.05482015,0.0001087028,0.00002850023,0.000345275,0.0004946673,0.00007756725,0.0455197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01335471,"threshold_uncertainty_score":0.04467601,"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."}}