{"id":"W6993061605","doi":"","title":"Newsbrief - measurement device will be boon to window manufacturers and consumers","year":2000,"lang":"en","type":"article","venue":"NPARC","topic":"Diverse Specialized Academic Research","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Window (computing); Service (business); Measure (data warehouse); Measurement device; Data collection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005983845,0.0001534679,0.0002974297,0.0001820867,0.0001120186,0.00009967024,0.0002667013,0.0001111895,0.01634364],"category_scores_gemma":[0.0001160534,0.0001771372,0.00005707558,0.0001807237,0.0000904347,0.0002408222,0.00006561085,0.0002290317,0.001683581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002042218,"about_ca_system_score_gemma":0.00002878466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002779957,"about_ca_topic_score_gemma":0.00003018755,"domain_scores_codex":[0.9985774,0.00002091343,0.0003449009,0.0004695101,0.0001603388,0.0004269244],"domain_scores_gemma":[0.9993297,0.00002785772,0.00006894735,0.0002680836,0.00003293842,0.0002724617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006181499,0.0002482063,0.04917664,0.0001518671,0.0005854683,0.00006068927,0.004003097,0.0001823443,0.006931108,0.1951353,0.4074214,0.3354857],"study_design_scores_gemma":[0.0007209386,0.0000427586,0.01251008,0.00001335192,0.000005690604,0.000002885995,0.00006984291,0.00003757838,0.0006989095,0.01265473,0.9730164,0.0002268087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3454414,0.0007639567,0.0001284151,0.0144979,0.0002301405,0.000593572,0.000150067,0.00005468161,0.6381399],"genre_scores_gemma":[0.9849082,0.0009292474,0.001238916,0.004741997,0.0001376048,0.00003222892,0.000006990681,0.00003408038,0.007970697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6394669,"threshold_uncertainty_score":0.9990937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07556168023722372,"score_gpt":0.2588000708127251,"score_spread":0.1832383905755014,"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."}}