{"id":"W4403425495","doi":"10.1007/s40940-024-00281-0","title":"Luminance-based methodology for assessment of low level haze in glazing","year":2024,"lang":"en","type":"article","venue":"Glass Structures & Engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Doug Bragg Enterprises (Canada)","funders":"","keywords":"Glazing; Luminance; Haze; Computer science; Artificial intelligence; Engineering; Geography; Civil engineering; Meteorology","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":[0.0008471423,0.0004592901,0.0003322379,0.002125962,0.0001947337,0.0006051585,0.0005102523,0.0004116634,0.001100249],"category_scores_gemma":[0.001414838,0.0001942813,0.0003124081,0.0008778119,0.0003038916,0.0004094138,0.0006043458,0.0004167781,0.0003583917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004426738,"about_ca_system_score_gemma":0.0004014758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001571789,"about_ca_topic_score_gemma":0.002367582,"domain_scores_codex":[0.9993636,0.0001214332,0.00003026239,0.0001010715,0.000351195,0.0000324271],"domain_scores_gemma":[0.9990971,0.0001853226,0.0001674282,0.00007244841,0.0004372034,0.00004050545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000461717,0.0002544499,0.03125762,0.001092339,0.0001502866,0.0002413927,0.0005154756,0.01505538,0.7457764,0.001265111,0.0008857777,0.2030441],"study_design_scores_gemma":[0.00007017372,0.001172444,0.1087844,0.0001341747,0.0002079968,0.0009994096,0.0006973525,0.2891484,0.591001,0.001158323,0.006410245,0.0002161365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3911255,0.001776127,0.6014614,0.0000932059,0.00009578637,0.0002586679,0.0005384486,0.001390716,0.003260149],"genre_scores_gemma":[0.7925704,0.0007432154,0.2046961,0.00006073069,0.0000359275,0.0001479725,0.0003289075,0.0000614774,0.00135524],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002125962,"threshold_uncertainty_score":0.004480183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0420143552879541,"score_gpt":0.2892261057899892,"score_spread":0.2472117505020351,"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."}}