{"id":"W2286843021","doi":"10.1080/09669582.2015.1125358","title":"Identifying and evaluating adaptation strategies for cruise tourism in Arctic Canada","year":2016,"lang":"en","type":"article","venue":"Journal of Sustainable Tourism","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Lakehead University; University of Ottawa","funders":"Canada Research Chairs","keywords":"Cruise; Tourism; Business; Arctic; Environmental resource management; Delphi method; Adaptation (eye); Environmental planning; Visitor pattern; Sustainable development; Geography; Political science; Economics; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01005196,0.00066559,0.0004201961,0.002088344,0.006638185,0.004957844,0.001318211,0.0006556435,0.001241334],"category_scores_gemma":[0.01148569,0.000236136,0.0006068468,0.002996412,0.002029167,0.001154333,0.002290313,0.0009526273,0.00009297483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07581026,"about_ca_system_score_gemma":0.118921,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8905483,"about_ca_topic_score_gemma":0.9545315,"domain_scores_codex":[0.993672,0.003053478,0.0002215969,0.0002060478,0.00131145,0.001535445],"domain_scores_gemma":[0.9942331,0.001642047,0.0004406657,0.0001251001,0.002709875,0.0008491867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001353374,0.001875084,0.304725,0.003990889,0.0006718299,0.002701858,0.2124706,0.05636954,0.007733505,0.02337609,0.00841842,0.3763139],"study_design_scores_gemma":[0.00007896612,0.0009656291,0.293099,0.001577996,0.0003330558,0.0001183946,0.6342264,0.01933803,0.004193961,0.003199448,0.04268051,0.0001885734],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631976,0.000862022,0.002686486,0.001732295,0.00002312666,0.001719454,0.000230573,0.00002780887,0.02952074],"genre_scores_gemma":[0.9851648,0.001567533,0.01056421,0.0001722694,0.000003165342,0.0004418436,0.0001664162,0.000006177859,0.001913594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1094517,"threshold_uncertainty_score":0.5500445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04664605700078802,"score_gpt":0.3480219612678487,"score_spread":0.3013759042670607,"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."}}