{"id":"W2990789246","doi":"10.17831/enq:arcc.v16i2.839","title":"The Universal Factory","year":2019,"lang":"en","type":"article","venue":"Enquiry The ARCC Journal for Architectural Research","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Schema (genetic algorithms); Assemblage (archaeology); Politics; Data science; Section (typography); Subject (documents); Sociology; Architectural engineering; Computer science; Media studies; Engineering; Political science; Geography; World Wide Web; Advertising; Archaeology; Business; Law","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":[0.01017299,0.000888926,0.0009593963,0.002422893,0.009125858,0.018002,0.002141397,0.003746844,0.02718904],"category_scores_gemma":[0.01832088,0.0008336111,0.000945651,0.00295624,0.04902861,0.02177565,0.01137171,0.005592215,0.006894194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01508334,"about_ca_system_score_gemma":0.01242028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03694386,"about_ca_topic_score_gemma":0.02737521,"domain_scores_codex":[0.9923602,0.002638987,0.0002951326,0.002130752,0.001648623,0.0009263164],"domain_scores_gemma":[0.9892707,0.00283097,0.0003443774,0.005068396,0.00161181,0.0008738682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008642699,0.000003075942,0.0001596843,0.00002331482,0.000003440902,0.00002082808,0.002379345,0.00006130862,0.00003388753,0.9779823,0.01341173,0.005912514],"study_design_scores_gemma":[0.000009335736,0.00001082565,0.0003113271,0.0001728143,0.000006866129,0.00006612857,0.002284614,0.0002120227,0.0001581893,0.3629549,0.6337969,0.00001618277],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01143191,0.01046967,0.07163007,0.07312088,0.002542338,0.000150945,0.001432416,0.0008832686,0.8283386],"genre_scores_gemma":[0.6186177,0.01093232,0.03925252,0.02021509,0.002241015,0.0005366812,0.001811713,0.001407675,0.3049853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03694386,"threshold_uncertainty_score":0.1094378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0539025586620339,"score_gpt":0.3269360209472133,"score_spread":0.2730334622851794,"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."}}