{"id":"W4324149021","doi":"10.3390/jrfm16030196","title":"Circular Economy of Cultural Heritage—Possibility to Create a New Tourism Product through Adaptive Reuse","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Cultural Heritage Management and Preservation","field":"Arts and Humanities","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Reuse; Circular economy; Cultural heritage; Adaptive reuse; Business; Resource (disambiguation); Cultural heritage management; Sustainable development; Population; Context (archaeology); Product (mathematics); Industrial heritage; Environmental planning; Political science; Geography; Sociology; Civil engineering; Engineering; Computer science; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0008023213,0.0002665892,0.0002131044,0.001126791,0.001817685,0.004345606,0.0007026567,0.0006761266,0.006860883],"category_scores_gemma":[0.0008570403,0.0001510745,0.0005483655,0.0009635914,0.003901772,0.003151044,0.004161181,0.0006646474,0.000741142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001286689,"about_ca_system_score_gemma":0.002070108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00328207,"about_ca_topic_score_gemma":0.006935652,"domain_scores_codex":[0.9992996,0.0001900876,0.00002756591,0.00007818677,0.000240007,0.0001645053],"domain_scores_gemma":[0.9994634,0.0001334833,0.00008395834,0.0001251638,0.0001082524,0.00008563304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001790805,0.0005071627,0.03500421,0.001858687,0.00009356807,0.007478286,0.02500849,0.008981926,0.01839956,0.5722889,0.009115471,0.3210847],"study_design_scores_gemma":[0.00004631943,0.000725402,0.05689404,0.002241122,0.000143119,0.01169566,0.0976739,0.01593497,0.02129056,0.1376471,0.6555116,0.0001963082],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4815686,0.002284761,0.05854982,0.002458833,0.0001642324,0.000379044,0.0001393547,0.0001291286,0.4543263],"genre_scores_gemma":[0.9588619,0.001038099,0.01487508,0.0001441389,0.00002224698,0.00006295479,0.00006115343,0.00003444178,0.02489989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006860883,"threshold_uncertainty_score":0.02295196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0646834591405889,"score_gpt":0.2447129687406014,"score_spread":0.1800295096000125,"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."}}