{"id":"W7005984374","doi":"","title":"SkyVision: a software tool to predict skylight performance","year":2002,"lang":"en","type":"article","venue":"NPARC","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software tool; Software; Task (project management); Skylight; Computer software","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008619669,0.001029676,0.0007355216,0.00237684,0.0003410199,0.001097219,0.001055447,0.0007702645,0.01868785],"category_scores_gemma":[0.003024173,0.0005785638,0.0006134245,0.001843616,0.0001692104,0.001534312,0.0008574214,0.000707224,0.007266072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004790006,"about_ca_system_score_gemma":0.0005488947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01669197,"about_ca_topic_score_gemma":0.01778713,"domain_scores_codex":[0.999737,0.00003968926,0.00001929068,0.00005942136,0.0001187595,0.00002590459],"domain_scores_gemma":[0.9990139,0.0003885569,0.0001241183,0.0001080354,0.000272112,0.00009327794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001736599,0.0004991259,0.06078481,0.0006521443,0.0006611284,0.0003237428,0.0003704437,0.1565662,0.01578109,0.002742189,0.3314617,0.4284209],"study_design_scores_gemma":[0.0003491744,0.0003983295,0.04131183,0.00005103614,0.0001449843,0.0001654871,0.0001375151,0.891851,0.01739961,0.004316717,0.04369621,0.0001780433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.1191381,0.0007499568,0.3319577,0.0003244545,0.0002383701,0.0004668284,0.05776304,0.4752477,0.01411387],"genre_scores_gemma":[0.6023927,0.0005553489,0.2447342,0.0001646258,0.0001281269,0.00071905,0.1171644,0.01783429,0.0163074],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01868785,"threshold_uncertainty_score":0.06251705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03223384456665958,"score_gpt":0.1854446067266353,"score_spread":0.1532107621599757,"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."}}