{"id":"W4235670246","doi":"10.35483/acsa.intlp.2016.11","title":"FXAT SCREEN","year":2016,"lang":"en","type":"article","venue":"","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Architecture; Realm; Exhibition; Computer science; Architectural engineering; Visual arts; Computer graphics (images); Art; Engineering; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001018636,0.00002427561,0.00001980198,0.0000129525,0.000006720934,0.000002071376,0.0000285773,0.000008266039,0.0002591559],"category_scores_gemma":[0.000001543291,0.00001327999,0.000009844473,0.00001865972,0.000004013012,0.00001940722,0.000003878351,0.000008944051,0.0003922386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004171282,"about_ca_system_score_gemma":0.000001487606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.1127e-7,"about_ca_topic_score_gemma":0.000001297602,"domain_scores_codex":[0.9998665,0.000001798844,0.00002651594,0.00002678167,0.00003197279,0.00004640036],"domain_scores_gemma":[0.9999178,0.00002645313,0.000001154183,0.0000345412,0.00000385316,0.0000161673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002886401,0.000003268148,0.0003165079,0.000003858821,0.00002369201,0.000003409859,0.00003854578,0.007805013,0.01413517,0.02989117,0.04491796,0.9028585],"study_design_scores_gemma":[0.001475729,0.000136412,0.06460461,0.00007765559,0.00001885452,0.00004734447,0.00001773202,0.0543081,0.1355478,0.2349137,0.5078179,0.001034243],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007858976,0.00002561145,0.8693485,0.0001864152,0.00003675135,0.00001605841,8.383633e-7,0.0002233225,0.1223036],"genre_scores_gemma":[0.9946009,0.000002672228,0.003716135,0.00007318941,0.00004637551,0.000001257212,3.326403e-7,0.000004892558,0.001554227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.986742,"threshold_uncertainty_score":0.5041564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005433769721314118,"score_gpt":0.1681367815125332,"score_spread":0.162703011791219,"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."}}