{"id":"W6901623560","doi":"10.6068/dp14ba8961c0821","title":"Trend 1997 - 2012. Statistics Canada. CANSIM: Transportation - Transportation by Air | Country: Canada | Table: Domestic and international itinerant movements, by type of operation, airports with NAV CANADA flight service stations | Variable: Smithers, British Columbia, Other international movements, Total itinerant movements | 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":"Technology in Education and Healthcare","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Economic statistics; Official statistics; Service (business); Summary statistics; Aviation; Air travel; Statistical analysis; International comparisons","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003651842,0.0004041447,0.0005373541,0.00007272211,0.0003221999,0.0002353352,0.001101954,0.0003156519,0.007564191],"category_scores_gemma":[0.00004693567,0.0005120016,3.448126e-7,0.0003622879,0.0002121088,0.0005250766,0.00004187061,0.0004371855,0.000002229417],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006072522,"about_ca_system_score_gemma":0.02176864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999843,"about_ca_topic_score_gemma":0.9999974,"domain_scores_codex":[0.9958121,0.0001799114,0.001017814,0.0008627543,0.001592969,0.0005344963],"domain_scores_gemma":[0.9974006,0.0001869971,0.0008533745,0.0007008974,0.0004835,0.0003746486],"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":[0.00004458821,0.0001499112,0.0005498956,0.00018161,0.0004120379,0.00006053266,0.0000668814,0.00005071711,0.000002631128,0.0004430333,0.9978088,0.0002293571],"study_design_scores_gemma":[0.001032663,0.00005102107,0.0001378109,0.00008390288,0.0001466061,0.00001067383,0.003218843,0.000404676,2.79165e-8,8.407328e-7,0.9943838,0.0005291828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004738701,0.001186845,0.00002824739,0.000121693,0.001293073,0.0007942133,0.9957417,0.00005388169,0.0007329403],"genre_scores_gemma":[0.0003843461,0.0008500346,0.000174847,0.001600828,0.000141145,0.00005217863,0.9768374,0.0001173359,0.01984188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02116139,"threshold_uncertainty_score":0.9997332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0160183597904671,"score_gpt":0.2679467319971152,"score_spread":0.251928372206648,"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."}}