{"id":"W4386515827","doi":"10.30682/tema090002","title":"Digital representation strategies to reveal the cultural significance of Canadian Post-war Architecture","year":2023,"lang":"en","type":"article","venue":"Rivista Tema","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Documentation; Interpretation (philosophy); Narrative; Representation (politics); Lexicon; Architecture; Computer science; Knowledge representation and reasoning; Relation (database); Visualization; Data science; Linguistics; Artificial intelligence; History; Archaeology; Law; Data mining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014157,0.0006406976,0.0002049637,0.01069164,0.005056181,0.005674903,0.0009885592,0.0004481581,0.006706868],"category_scores_gemma":[0.00381244,0.0001845981,0.0002870218,0.01429715,0.004009446,0.001714137,0.002813647,0.0007097685,0.000338914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03143038,"about_ca_system_score_gemma":0.02620133,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7876054,"about_ca_topic_score_gemma":0.9225342,"domain_scores_codex":[0.9990748,0.0002691196,0.00003856576,0.00008612414,0.0003555846,0.0001757155],"domain_scores_gemma":[0.9985434,0.0005136152,0.0001138937,0.0001522967,0.0005984253,0.00007841767],"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":[0.0001085535,0.00004801721,0.01724696,0.0006455536,0.00002723403,0.001462583,0.2436045,0.001992677,0.006357526,0.2983749,0.01014155,0.4199899],"study_design_scores_gemma":[0.00001391175,0.00006215934,0.04811011,0.0008848363,0.0001276595,0.001168147,0.3382542,0.004990111,0.007128486,0.02844758,0.5707295,0.00008327426],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4898137,0.004299606,0.06009291,0.005151298,0.0001145631,0.0005671296,0.002970958,0.0003260587,0.4366638],"genre_scores_gemma":[0.9136479,0.003851914,0.04722093,0.0001867875,0.00001914244,0.0001770043,0.001125417,0.00005907881,0.03371175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2123946,"threshold_uncertainty_score":0.4272908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0289301633485042,"score_gpt":0.2449130933523531,"score_spread":0.2159829300038489,"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."}}