{"id":"W4412373645","doi":"10.1007/s10111-025-00816-7","title":"User-centered evaluation of visual generative AI for city design: an exploratory technology acceptance model analysis","year":2025,"lang":"en","type":"article","venue":"Cognition Technology & Work","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Fulbright Canada","funders":"Canada Economic Development for Quebec Regions; Fulbright Canada; Massachusetts Institute of Technology","keywords":"Industrial and organizational psychology; Generative grammar; Engineering; Exploratory analysis; Computer science; Human–computer interaction; Psychology; Data science; Artificial intelligence; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02793731,0.000735166,0.0004879146,0.002341549,0.0007582422,0.004252477,0.001065466,0.0009164224,0.001679064],"category_scores_gemma":[0.07026124,0.0004122089,0.001270511,0.00129819,0.001694049,0.002247212,0.002783803,0.001124459,0.0003262416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001902705,"about_ca_system_score_gemma":0.001050472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001575466,"about_ca_topic_score_gemma":0.00172976,"domain_scores_codex":[0.9801759,0.01503947,0.0006624839,0.0007887385,0.002804215,0.0005292179],"domain_scores_gemma":[0.9048045,0.07488565,0.005084755,0.005911651,0.007857722,0.001455746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002733061,0.005380835,0.5154835,0.001408144,0.0005971993,0.0005482279,0.2144137,0.02636085,0.02701808,0.01257469,0.001656065,0.1918257],"study_design_scores_gemma":[0.0004332573,0.01346662,0.4507437,0.0009197923,0.0005658044,0.0007517676,0.1677701,0.309097,0.03031142,0.01400188,0.01136471,0.0005738788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906566,0.00002102209,0.007672554,0.00004943403,0.000002503973,0.0001814693,0.00003453313,0.00004817321,0.00133375],"genre_scores_gemma":[0.9907005,0.00002082142,0.008626703,0.00002171793,0.000001968175,0.0003069791,0.0000749404,0.00002074958,0.0002255833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02793731,"threshold_uncertainty_score":0.1477484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2196232713616141,"score_gpt":0.4598661742743049,"score_spread":0.2402429029126908,"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."}}