{"id":"W3000310483","doi":"10.1108/jchmsd-11-2018-0083","title":"Whose heritage? Determining values of modern public spaces in Canada","year":2019,"lang":"en","type":"article","venue":"Journal of Cultural Heritage Management and Sustainable Development","topic":"Cultural Heritage Management and Preservation","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Industrial heritage; Cultural heritage; Cultural heritage management; Value (mathematics); Originality; Values; Field (mathematics); Scope (computer science); Natural heritage; Environmental ethics; Sociology; Environmental resource management; Public relations; Political science; Geography; Social science; Archaeology; Computer science; Qualitative research; Tourism","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.00061472,0.0002388579,0.0004369717,0.0002531384,0.0001837879,0.000357603,0.0003066843,0.00003157517,0.0003786272],"category_scores_gemma":[0.00001885043,0.0001802097,0.00006917278,0.0001452979,0.00005611139,0.001520919,0.0002696391,0.0001606466,0.000002560069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003961454,"about_ca_system_score_gemma":0.0001883374,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01582123,"about_ca_topic_score_gemma":0.1641484,"domain_scores_codex":[0.9979094,0.00006896022,0.0008192682,0.0001983286,0.0005267808,0.0004772606],"domain_scores_gemma":[0.9989107,0.00003690117,0.0004444135,0.0001279587,0.0003935693,0.00008646304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007744377,0.0005256169,0.2388955,0.01088778,0.001674108,0.002699112,0.373345,0.0008475591,0.0003212669,0.1878824,0.01659573,0.1655515],"study_design_scores_gemma":[0.001791791,0.0001766414,0.03440931,0.0003977603,0.00005432048,0.000009185878,0.6370525,0.0004998149,0.00009735696,0.001771441,0.3231885,0.0005513935],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690532,0.001203307,0.00001000615,0.0003779547,0.0002815715,0.000422912,0.000001203924,0.00001072663,0.02863911],"genre_scores_gemma":[0.9587707,0.0001767712,0.0007384608,0.00009786686,0.00006715214,0.00001011838,0.000008674742,0.00001462917,0.04011561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3065928,"threshold_uncertainty_score":0.9907325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03540068262122315,"score_gpt":0.2111090490489657,"score_spread":0.1757083664277425,"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."}}