{"id":"W2083496379","doi":"10.15627/jd.2015.1","title":"Simulation of Daylighting Conditions in a Virtual Underground City","year":2015,"lang":"en","type":"article","venue":"Journal of Daylighting","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Architectural engineering; Precinct; Civil engineering; Daylighting; Modular design; Architecture; Computer science; Realization (probability); Animation; Construction engineering; Engineering; Computer graphics (images); Geography; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.000203627,0.0004556724,0.0004611023,0.0004336311,0.0004843555,0.0008573572,0.0006424478,0.000918411,0.002282929],"category_scores_gemma":[0.0006085441,0.0002108903,0.0006733403,0.0004716266,0.0005540475,0.0003820429,0.0007435261,0.0004714862,0.0001657585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005783389,"about_ca_system_score_gemma":0.0005008383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01239521,"about_ca_topic_score_gemma":0.009007318,"domain_scores_codex":[0.9998326,0.0000443453,0.000006345204,0.00002237721,0.00003664754,0.00005766457],"domain_scores_gemma":[0.9996074,0.000191754,0.00003100492,0.00002948173,0.00005965831,0.00008078037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002046545,0.0001442285,0.005064256,0.00005134193,0.0000248551,0.000277483,0.0001990426,0.9849998,0.005544712,0.0008429717,0.0003442071,0.002302425],"study_design_scores_gemma":[0.00005810688,0.000141675,0.003362681,0.000009643772,0.00002038448,0.00003551904,0.0002551787,0.9920324,0.002951961,0.0003939765,0.0007166577,0.00002182796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841788,0.00004808407,0.008759676,0.00005280861,0.00003030222,0.00004309776,0.0003364962,0.0002088814,0.006341797],"genre_scores_gemma":[0.997101,0.00003319762,0.001877863,0.00000937767,0.000002406624,0.00002790278,0.0001763143,0.00001805884,0.0007538379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01239521,"threshold_uncertainty_score":0.0246461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984696302720729,"score_gpt":0.2674911297873471,"score_spread":0.2476441667601398,"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."}}