{"id":"W6920095143","doi":"10.6068/dp14baa363ecc1","title":"Trend 1987 - 1997. Statistics Canada. CANSIM: Travel and Tourism - Tourism Indicators | Country: Canada | Province: Northwest Territories | Table: Traveller accommodation industries | Variable: Hotels and motor hotels | Units: , 1987-1997. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-201.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Accommodation; Economic statistics; Census; Official statistics; Gross domestic product; Descriptive statistics; Statistical analysis; Product (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001172988,0.002056611,0.002316917,0.0005052641,0.0005565691,0.001139139,0.003343615,0.001746862,0.002080692],"category_scores_gemma":[0.0003541026,0.002030733,3.536073e-7,0.0009642068,0.001137475,0.001094017,0.00139016,0.002515564,0.00003913571],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008401023,"about_ca_system_score_gemma":0.04189781,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999183,"about_ca_topic_score_gemma":0.9998076,"domain_scores_codex":[0.9899603,0.0008614338,0.00190306,0.002722906,0.002741211,0.001811059],"domain_scores_gemma":[0.9903272,0.001336528,0.001995683,0.004387853,0.0001623543,0.0017904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000251555,0.0001416743,0.000104469,0.0007995568,0.0007481993,0.001403382,0.00001579539,0.000004680434,0.000005862678,0.0002635687,0.9957154,0.0005458948],"study_design_scores_gemma":[0.001894784,0.0001968404,0.00009573602,0.0001212197,0.001144293,0.0003629175,0.0006056881,0.0005165074,2.744951e-7,6.14033e-7,0.9927858,0.002275339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000005783168,0.002524248,0.000009036084,0.000009267112,0.001389683,0.001935639,0.9928548,0.0001934408,0.001078058],"genre_scores_gemma":[0.00005704046,0.0009797937,0.0003108708,0.0002480022,0.001147146,0.00007218719,0.9919547,0.0009095167,0.004320709],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04105771,"threshold_uncertainty_score":0.9998978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01989296237655032,"score_gpt":0.2329654555283757,"score_spread":0.2130724931518254,"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."}}