{"id":"W3139255938","doi":"10.1080/13602365.2021.1891949","title":"The Labyrinth as immersive multimedia environment: Marshall McLuhan at Expo 67","year":2021,"lang":"en","type":"article","venue":"The Journal of Architecture","topic":"Visual Culture and Art Theory","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pavilion; Exposition (narrative); Movie theater; Architecture; Space (punctuation); Balance (ability); Visual arts; Aesthetics; Multimedia; Sociology; Relation (database); Plan (archaeology); Art; Computer science; Psychology; Engineering; Literature; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003725898,0.0001579971,0.0001713203,0.00002840567,0.0009232318,0.00008731909,0.0003903256,0.00003550726,0.003634521],"category_scores_gemma":[0.00006731552,0.00007050246,0.000194433,0.00002144433,0.0004076979,0.00006745615,0.0001737162,0.0005010828,0.0002611245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003691896,"about_ca_system_score_gemma":0.0000373008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008420367,"about_ca_topic_score_gemma":0.0003132787,"domain_scores_codex":[0.9987574,0.0003021069,0.0002694611,0.00009187884,0.0003324898,0.0002467165],"domain_scores_gemma":[0.9989421,0.00041082,0.0002325746,0.0002434477,0.00007900475,0.00009205729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001445359,0.0003464154,0.00008650884,0.00005131677,0.001229076,0.0005069808,0.7698119,0.0008622617,0.05708463,0.06775653,0.06514734,0.03567166],"study_design_scores_gemma":[0.0004314246,0.0002339028,0.0001527105,0.00004582828,0.0001156128,0.0004715336,0.02026292,0.000006961696,0.008433893,0.01407296,0.9556328,0.0001394738],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8748689,0.01158832,0.0001175917,0.02347459,0.001981231,0.0002901061,0.00003951737,0.00002211335,0.08761763],"genre_scores_gemma":[0.955174,0.0007296713,0.00004998587,0.001751738,0.001872899,0.000001962435,0.000005416047,0.0000264795,0.04038782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8904855,"threshold_uncertainty_score":0.9972763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342683254931064,"score_gpt":0.2183827062502099,"score_spread":0.2049558737008993,"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."}}