{"id":"W4388506467","doi":"10.59490/abe.2021.14.6184","title":"How Heritage Learns","year":2021,"lang":"en","type":"article","venue":"Architecture and the Built Environment","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptation (eye); Architectural engineering; Quarter (Canadian coin); Cultural heritage; Set (abstract data type); Public housing; Sociology; Economy; Political science; Environmental ethics; History; Public relations; Engineering; Archaeology; Civil engineering; Computer science; Economics; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.00005226802,0.00009875481,0.0001248749,0.0000151193,0.00006136805,0.00004622257,0.00006785437,0.00002935031,0.00008848315],"category_scores_gemma":[0.000005828713,0.00006218431,0.0000693367,0.00004119697,0.00008142472,0.00001696491,0.00004566203,0.0001299847,0.0000160156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000932064,"about_ca_system_score_gemma":0.000001888894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001265894,"about_ca_topic_score_gemma":0.00004022278,"domain_scores_codex":[0.9995566,0.00004100896,0.00006199913,0.0001158246,0.00009854956,0.0001260042],"domain_scores_gemma":[0.9996884,0.00004147646,0.00000854283,0.0002163155,0.000001442228,0.0000437834],"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":[0.0001513693,0.0001781848,0.003032763,0.0002036768,0.002365294,0.0004167784,0.0113333,0.2150922,0.1183826,0.01221797,0.007404914,0.629221],"study_design_scores_gemma":[0.002813641,0.00006840255,0.006708461,0.00002504337,0.0004073263,0.0001284512,0.0006154525,0.02372607,0.0258329,0.02109436,0.9178116,0.0007683084],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6834816,0.03772485,0.2233368,0.0342048,0.0002926917,0.0005190717,0.00002666979,0.0003671036,0.02004644],"genre_scores_gemma":[0.9943585,0.000807082,0.0006390307,0.0001866022,0.00006875208,0.00001133124,0.00000503251,0.00001382613,0.003909828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9104066,"threshold_uncertainty_score":0.2535803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004567293823604854,"score_gpt":0.142924193284612,"score_spread":0.1383568994610071,"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."}}