{"id":"W4413571919","doi":"10.1177/26349825251360658","title":"Smart city photo booths: Playful data","year":2025,"lang":"en","type":"article","venue":"Environment and Planning F","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Visual arts; Art; Computer science; World Wide Web; Architectural engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002933518,0.0008731252,0.0003159501,0.0009187444,0.001954603,0.003109685,0.001692341,0.001313866,0.02130864],"category_scores_gemma":[0.009313642,0.0003594465,0.0005441041,0.0005661061,0.00432359,0.004551603,0.006407369,0.001591124,0.002370633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006783789,"about_ca_system_score_gemma":0.0005143216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007148311,"about_ca_topic_score_gemma":0.002047959,"domain_scores_codex":[0.9977171,0.001430455,0.00005630068,0.0002621964,0.0003284148,0.0002056238],"domain_scores_gemma":[0.9933102,0.005190466,0.0001710482,0.0006704009,0.000173007,0.0004847786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.002030194,0.001042504,0.007627414,0.003540562,0.0001257221,0.004849884,0.3988537,0.00517563,0.0480539,0.1265785,0.08262263,0.3194995],"study_design_scores_gemma":[0.0003086952,0.0006001327,0.004951669,0.000780208,0.00006229458,0.001312823,0.06950421,0.008886359,0.01110596,0.05625784,0.8460607,0.000169141],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3988774,0.002397034,0.3241138,0.01486639,0.002188882,0.003325249,0.00396141,0.00995985,0.24031],"genre_scores_gemma":[0.7834614,0.0007730494,0.1746902,0.001911922,0.0003360653,0.002714605,0.001153133,0.001376019,0.03358362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02130864,"threshold_uncertainty_score":0.07128447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02300987473378831,"score_gpt":0.2142579057275433,"score_spread":0.191248030993755,"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."}}