{"id":"W2902967316","doi":"10.1177/1478077118807266","title":"Artificial intelligence and robotics in architecture: Autonomy, agency, and indeterminacy","year":2018,"lang":"en","type":"article","venue":"International Journal of Architectural Computing","topic":"Architecture and Computational Design","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Indeterminacy (philosophy); Robotics; Autonomy; Architecture; Agency (philosophy); Artificial intelligence; Computer science; Robot; Engineering; Political science; Sociology; Epistemology; Art; Visual arts; Social science; Philosophy; Law","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":[0.0002641286,0.0001624107,0.000197948,0.0004307999,0.00005515175,0.00008258546,0.0002806283,0.00004502893,0.000006476034],"category_scores_gemma":[0.00007081631,0.0001445917,0.00005023273,0.0001313326,0.0001589158,0.00009248167,0.0001229146,0.0003945045,0.000002294466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006233117,"about_ca_system_score_gemma":0.0000477185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008066303,"about_ca_topic_score_gemma":0.00002295091,"domain_scores_codex":[0.9988002,0.00005025496,0.0005469492,0.0001398675,0.0002691783,0.000193588],"domain_scores_gemma":[0.9993178,0.0002823018,0.0001238042,0.00005867997,0.0001312762,0.00008610813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004674824,0.00001015576,0.0008310067,0.00001109375,0.00004831949,0.0000656364,0.002958524,0.2665381,0.000763475,0.001219347,0.000003632189,0.727504],"study_design_scores_gemma":[0.0002997525,0.0004620916,0.04653638,0.0003429109,0.00002326199,0.00411989,0.00009999736,0.7166926,0.003499496,0.2272515,0.0002225486,0.0004495339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6363695,0.0002188759,0.3619933,0.0005787693,0.0005385344,0.00005529142,0.000001349559,0.0000265558,0.0002178628],"genre_scores_gemma":[0.9538288,0.00001201322,0.04527795,0.0001014998,0.0007602721,3.935598e-7,0.000001044229,0.00001543137,0.000002619631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7270544,"threshold_uncertainty_score":0.5896279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811129666653504,"score_gpt":0.2628327705598478,"score_spread":0.2447214738933127,"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."}}