{"id":"W6957946463","doi":"10.6068/dp14ba81bee2088","title":"Trend 1997 - 2012. Statistics Canada. CANSIM: Transportation - Transportation by Air | Country: Canada | Table: Itinerant movements, by type of power plant, airports with NAV CANADA towers | Variable: Edmonton City Centre, Alberta, Turbo-propellers | Units: #, 1997-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-195.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Economic statistics; Summary statistics; Statistical analysis; Official statistics; Air travel; Aviation; Power (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001790103,0.00258699,0.002773928,0.008952597,0.003419427,0.005146211,0.005062621,0.001528776,0.09195347],"category_scores_gemma":[0.01662954,0.001866884,0.002236669,0.04427931,0.0006490899,0.002962895,0.002417901,0.003080456,0.05888253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04941459,"about_ca_system_score_gemma":0.1264591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951676,"about_ca_topic_score_gemma":0.992901,"domain_scores_codex":[0.9959997,0.0002346113,0.00042172,0.0005306226,0.001777444,0.001035971],"domain_scores_gemma":[0.9706537,0.001052103,0.0008703442,0.000877244,0.02517226,0.001374371],"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":[0.00002156706,0.000005965313,0.001085099,0.000242719,0.00001980691,0.000007289453,0.00002459374,0.0001390022,0.000009093517,0.0004021647,0.9965057,0.001537057],"study_design_scores_gemma":[0.0001440439,0.00001249263,0.0233888,0.0009196836,0.00007060409,0.00002974524,0.000641951,0.000580556,0.0001911716,0.0006873154,0.9732388,0.00009484722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005242915,0.00004272789,0.00002623077,0.0000975203,0.00002651164,0.00001236384,0.9987714,0.00006030393,0.0009106369],"genre_scores_gemma":[0.0008970945,0.0002773894,0.0003579652,0.0001167249,0.00001673122,0.000110158,0.9941843,0.0001321998,0.003907502],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09195347,"threshold_uncertainty_score":0.3585296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394674108859008,"score_gpt":0.2130410591561731,"score_spread":0.199094318067583,"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."}}