{"id":"W2946515467","doi":"","title":"An Economic Impact Analysis of The Ice District on the Hospitality Industry","year":2018,"lang":"en","type":"article","venue":"MacEwan University Student Research Proceedings","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"MacEwan University","funders":"","keywords":"Hospitality industry; Hospitality; Business; Marketing; Tourism; Geography; Archaeology","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":[0.0008608166,0.000284908,0.0006164816,0.003600055,0.0009482783,0.003032215,0.0007607591,0.0004742639,0.01240102],"category_scores_gemma":[0.002211271,0.0002603822,0.000996575,0.004857217,0.0006878793,0.0009968185,0.001350334,0.001126008,0.0005538432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007107814,"about_ca_system_score_gemma":0.003554743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1511342,"about_ca_topic_score_gemma":0.2497934,"domain_scores_codex":[0.9988187,0.0003598822,0.00002676598,0.00006533205,0.0002516193,0.0004776425],"domain_scores_gemma":[0.9981843,0.0007402271,0.0002136457,0.00006784645,0.0004277294,0.0003663217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004356268,0.002710133,0.6181406,0.000612404,0.0006901108,0.002907929,0.0007965126,0.2289792,0.003365156,0.06376358,0.01456326,0.05911475],"study_design_scores_gemma":[0.0002065822,0.001424776,0.8400991,0.0001306128,0.0005960191,0.0002428726,0.01323191,0.115692,0.002621881,0.006685288,0.01899209,0.00007694997],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9530207,0.0005733368,0.0006673805,0.0004549508,0.00002781816,0.0001026404,0.00165462,0.00001414174,0.04348433],"genre_scores_gemma":[0.9928767,0.0003109572,0.0001977126,0.00003954161,0.00001537644,0.00001548042,0.0006056823,0.000004600626,0.005933921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1511342,"threshold_uncertainty_score":0.3005091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05515495872827034,"score_gpt":0.3779995981380202,"score_spread":0.3228446394097498,"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."}}