{"id":"W4283831141","doi":"10.1002/ad.2842","title":"Moments – On the Dissecting Table.","year":2022,"lang":"en","type":"article","venue":"Architectural Design","topic":"Architecture, Modernity, and Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tying; Architecture; Table (database); Casting; Engineering; Art history; Art; Visual arts; Artificial intelligence; Computer science; Database","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":[0.0006703339,0.0007468517,0.0001878963,0.001846825,0.007061656,0.003810681,0.0008007071,0.001215389,0.1247283],"category_scores_gemma":[0.002997395,0.0003077809,0.0003084642,0.001017404,0.002756556,0.003733486,0.003433895,0.002907758,0.03554983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002294519,"about_ca_system_score_gemma":0.001766382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01280084,"about_ca_topic_score_gemma":0.03928942,"domain_scores_codex":[0.9994518,0.0001403358,0.00001826933,0.00006687603,0.0002293701,0.00009344646],"domain_scores_gemma":[0.9990078,0.0002095089,0.00004416426,0.00009500215,0.0003774167,0.0002661654],"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":[0.00008395116,0.00001970645,0.0003136557,0.0001010996,0.000002758076,0.0008362478,0.01065083,0.00006564438,0.001176338,0.08164625,0.8207788,0.08432466],"study_design_scores_gemma":[0.000001540412,0.000004905924,0.0002318601,0.00007913736,7.557867e-7,0.0002687151,0.005689506,0.0000297934,0.0001268748,0.002635885,0.9909253,0.000005774226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006778255,0.005928706,0.00652941,0.02654779,0.01559044,0.000152631,0.001049142,0.0009930348,0.9364306],"genre_scores_gemma":[0.06019161,0.002620436,0.01185919,0.008146488,0.00244379,0.0001146642,0.0007669809,0.0008952701,0.9129615],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1247283,"threshold_uncertainty_score":0.4172576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03136528222908314,"score_gpt":0.2204539145906915,"score_spread":0.1890886323616084,"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."}}