{"id":"W4410313825","doi":"10.32920/ifmj.v4i1-2.2073","title":"AR Cité Imagine if the City Could Speak","year":2024,"lang":"en","type":"article","venue":"Interactive Film and Media Journal","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dawson College","funders":"","keywords":"Psychology; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003433598,0.0001026336,0.00009809958,0.00008673142,0.0001822028,0.0005082539,0.0004740628,0.00003070859,0.0001381087],"category_scores_gemma":[0.0001063732,0.00006275591,0.00006469367,0.0002076084,0.0001034547,0.0006013709,0.0001665742,0.0006975511,0.00006829045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005948606,"about_ca_system_score_gemma":0.00009652002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001609298,"about_ca_topic_score_gemma":0.00001145319,"domain_scores_codex":[0.9991364,0.00006357297,0.0001862519,0.000199994,0.0002358248,0.0001779571],"domain_scores_gemma":[0.9989772,0.0004972484,0.00007099663,0.0002161682,0.00009900901,0.0001393871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005887815,0.00031596,0.0008853565,0.00004846559,0.0006420185,0.000657433,0.04516681,0.0001014621,0.007823819,0.1236479,0.2644739,0.556178],"study_design_scores_gemma":[0.0006382844,0.0001283953,0.02196772,0.0004007254,0.00009316119,0.006193786,0.001907364,0.1521612,0.00565382,0.06943218,0.7409783,0.0004450655],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0226212,0.001429217,0.9230207,0.0412494,0.002621477,0.0001713144,0.00002839934,0.0001035787,0.008754689],"genre_scores_gemma":[0.9958454,0.0004254945,0.001624538,0.000909891,0.0006579429,0.00001450586,0.000002983526,0.000008354572,0.0005108987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9732242,"threshold_uncertainty_score":0.4901105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01480591992341837,"score_gpt":0.2848405327062543,"score_spread":0.2700346127828359,"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."}}