{"id":"W4388514209","doi":"10.59490/footprint.15.1.4942","title":"Environments (out) of Control","year":2020,"lang":"en","type":"article","venue":"FOOTPRINT","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cybernetics; Semiosis; Contingency; Architecture; Conversation; Semiotics; Sociology; Epistemology; Adaptation (eye); Dynamism; Anthropocene; Cognitive science; Computer science; Environmental ethics; Philosophy; Communication; Psychology; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001184221,0.0000387327,0.00005931477,0.000007490763,0.000005375118,0.000001458921,0.00004928092,0.00001232583,0.00002473901],"category_scores_gemma":[0.00000354592,0.00003716681,0.0000239407,0.00001608677,0.00000776438,0.000004554378,0.000008940528,0.00003840687,0.00005717397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005136744,"about_ca_system_score_gemma":0.000002128555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.242268e-7,"about_ca_topic_score_gemma":1.25513e-7,"domain_scores_codex":[0.9997684,0.000005188627,0.00007047357,0.0000446721,0.00006144477,0.00004978397],"domain_scores_gemma":[0.9999012,0.00001562373,0.000007774004,0.00004001276,0.000001766758,0.00003366965],"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":[0.00002113305,0.00001244763,0.0005757468,0.0000365136,0.00007965921,0.000004690382,0.0009488027,0.8561323,0.1017229,0.002026813,0.0002517344,0.03818719],"study_design_scores_gemma":[0.003064009,0.0005580871,0.1260619,0.00003804902,0.00007677171,0.00000437636,0.00008544237,0.3972768,0.2290046,0.01168518,0.2313868,0.000757925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07823707,0.00009331929,0.9141588,0.0002301769,0.00007870438,0.00008732621,0.000003867146,0.00007085815,0.007039918],"genre_scores_gemma":[0.9989527,0.000002277612,0.0008843527,0.00009918455,0.00004163827,0.000003235898,8.485507e-7,0.000006629934,0.000009140956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9207156,"threshold_uncertainty_score":0.1515618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009605280528510932,"score_gpt":0.1712501763112527,"score_spread":0.1616448957827418,"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."}}