{"id":"W6976815564","doi":"10.6068/dp14ba7d3975829","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Information and Communications Technology - Information and Communications Technology Sector | Country: Canada | Table: Survey of innovation, selected service industries, percentage of revenues that came from the sale of products to clients outside of Canada (exports) | Variable: Air transportation, 0% of revenues, All business units | Units: %, 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-127.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Official statistics; Revenue; Census; Summary statistics; Descriptive statistics; Business statistics; Service (business); Information technology; Information and Communications Technology","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":[0.002562808,0.002575683,0.00277381,0.009590167,0.004106744,0.005431733,0.005401385,0.001661441,0.09640425],"category_scores_gemma":[0.02403708,0.001780959,0.002117691,0.05370037,0.0007663158,0.00269066,0.002354764,0.00340765,0.06337464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06188515,"about_ca_system_score_gemma":0.1600471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949433,"about_ca_topic_score_gemma":0.9928102,"domain_scores_codex":[0.9942487,0.0003277081,0.0006209711,0.0006393589,0.002931561,0.001231649],"domain_scores_gemma":[0.9453165,0.001970643,0.001314897,0.001354139,0.04800811,0.002035796],"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":[0.00001788883,0.000007151645,0.0007918546,0.0002155802,0.0000135569,0.000005676624,0.00001823393,0.0000898833,0.000007196005,0.0002682808,0.9973155,0.001249327],"study_design_scores_gemma":[0.0001628892,0.00001205652,0.02526997,0.0008121292,0.00006681925,0.00002239091,0.0005235136,0.000351123,0.0001677764,0.0005610075,0.9719642,0.00008609029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004128746,0.00004090456,0.00001614598,0.0001073289,0.00002281215,0.00001275937,0.9988829,0.00004222853,0.0008334966],"genre_scores_gemma":[0.0007495809,0.0002824958,0.0003604955,0.0001626635,0.00001816087,0.0001316028,0.994107,0.0000965732,0.004091422],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09640425,"threshold_uncertainty_score":0.4490103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04043154523053527,"score_gpt":0.248539762074556,"score_spread":0.2081082168440208,"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."}}