{"id":"W1974527368","doi":"10.1016/j.annals.2015.02.010","title":"Maine to Greenland: Exploring the Maritime Far Northeast","year":2015,"lang":"en","type":"article","venue":"Annals of Tourism Research","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Geography; Oceanography; Physical geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003615196,0.0001720496,0.0002043441,0.000935429,0.003898176,0.002475039,0.0006061826,0.0006081437,0.003548882],"category_scores_gemma":[0.0006096087,0.0001262906,0.0001780371,0.002286726,0.002343258,0.001848078,0.002887436,0.0004821224,0.000183622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003547644,"about_ca_system_score_gemma":0.00412014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4031522,"about_ca_topic_score_gemma":0.851355,"domain_scores_codex":[0.9998277,0.00005317899,0.00000401386,0.00002203623,0.00001638062,0.00007662099],"domain_scores_gemma":[0.9997289,0.00009782115,0.00005497048,0.00001180973,0.00003498744,0.00007157055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001555581,0.0001122885,0.2103073,0.0004198618,0.00004618766,0.004708296,0.7209546,0.0003745365,0.002726837,0.01413119,0.004806537,0.04125677],"study_design_scores_gemma":[0.00000306535,0.00002397858,0.2105026,0.0002155084,0.00001548568,0.0002160513,0.7653108,0.0001150798,0.00008160561,0.0008264626,0.02268194,0.000007361868],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768673,0.0009279692,0.0001298017,0.001754835,0.00002530889,0.00001339772,0.0001099296,0.000003392058,0.02016811],"genre_scores_gemma":[0.9946403,0.000809512,0.0002373653,0.0004207017,0.00001146144,0.00001264287,0.0000858773,0.000005688544,0.003776512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4031522,"threshold_uncertainty_score":0.8016112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5286373777709054,"score_gpt":0.5249900523596044,"score_spread":0.003647325411300972,"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."}}