{"id":"W6957839532","doi":"10.6068/dp14ba872fe6f35","title":"Trend 1997 - 2012. Statistics Canada. CANSIM: Transportation - Transportation by Air | Country: Canada | Table: Itinerant movements, by aircraft maximum take-off weight, airports with NAV CANADA towers | Variable: Ottawa/Macdonald-Cartier International, Ontario, 5,671 to 9,000 kilograms | 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; Official statistics; Summary statistics; Statistical analysis; Descriptive statistics; Aviation; Air travel","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":[0.001806324,0.002554836,0.00261133,0.007829442,0.00296586,0.004433624,0.004926677,0.001503018,0.0906749],"category_scores_gemma":[0.0173857,0.001673831,0.002201648,0.03827422,0.0006033582,0.002724865,0.002165657,0.002947215,0.05696347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04031646,"about_ca_system_score_gemma":0.09942183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9933792,"about_ca_topic_score_gemma":0.9907891,"domain_scores_codex":[0.9965089,0.0002328022,0.0004076504,0.0004990009,0.001503746,0.0008477382],"domain_scores_gemma":[0.9737855,0.001030557,0.0008405289,0.0008349639,0.02228969,0.001218727],"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":[0.00002232161,0.000005639869,0.001074712,0.00025392,0.00002060476,0.000006784464,0.00002153102,0.0001311364,0.00000839678,0.0003382662,0.9966106,0.001506157],"study_design_scores_gemma":[0.0001761896,0.00001380609,0.02435217,0.001024107,0.0000767897,0.00003065214,0.0005544861,0.0005863552,0.0001710051,0.0007053225,0.9722139,0.00009529658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004831459,0.00004037127,0.000025195,0.00009401653,0.00002461155,0.00001150908,0.9990006,0.00005473298,0.0007006222],"genre_scores_gemma":[0.0008191945,0.0002514117,0.0003237354,0.0001174607,0.00001688727,0.0001079572,0.9952717,0.0001074416,0.002984053],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0906749,"threshold_uncertainty_score":0.3033378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01171522073831289,"score_gpt":0.2152438816535125,"score_spread":0.2035286609151996,"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."}}