{"id":"W7106023120","doi":"10.63489/acad.2025.35751","title":"Anticosti: Tourism, Industry, and Nature Construction on a Nordic, Peripheral Island","year":2025,"lang":"en","type":"article","venue":"Acadiensis","topic":"Island Studies and Pacific Affairs","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Complementarity (molecular biology); Metropolitan area; World heritage; Tourist industry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002508261,0.000126005,0.0001204274,0.0004602256,0.005766348,0.002373096,0.0004715823,0.0002695627,0.004614327],"category_scores_gemma":[0.0003863642,0.00008803429,0.00007437834,0.001244206,0.003496869,0.0007076855,0.001387045,0.0009695718,0.0001287394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01609841,"about_ca_system_score_gemma":0.01511686,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9338289,"about_ca_topic_score_gemma":0.9898648,"domain_scores_codex":[0.9998665,0.00002893147,0.000001595724,0.00001285025,0.00002800115,0.00006210833],"domain_scores_gemma":[0.9997019,0.00003725487,0.00002720825,0.0000125283,0.00007042674,0.0001507158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002481189,0.0003855733,0.3665808,0.0002007817,0.00004237892,0.006147056,0.3276309,0.001341166,0.002776505,0.1226606,0.03375059,0.1382356],"study_design_scores_gemma":[0.000009261279,0.00008882341,0.4455763,0.000164738,0.00001160246,0.0004542544,0.3562211,0.0006342655,0.0002977033,0.00183677,0.1946824,0.00002266327],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8939015,0.0007994839,0.0002391278,0.001893017,0.00003277196,0.00001769421,0.0001821681,0.00001092664,0.1029231],"genre_scores_gemma":[0.9800162,0.0005168093,0.0002055757,0.0001382345,0.000006027615,0.000007342126,0.0000883194,0.000005267014,0.01901615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06617105,"threshold_uncertainty_score":0.1331214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006500758572197519,"score_gpt":0.2822620408436153,"score_spread":0.2757612822714178,"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."}}