{"id":"W6964005566","doi":"10.25318/1210014101-eng","title":"International transactions in services, information and communication technology services by country and affiliation, annual","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; Information technology; Database transaction; Information system; International standard","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":[0.0008234724,0.002154948,0.00153063,0.01034888,0.001659404,0.003994298,0.002894579,0.001305558,0.05760536],"category_scores_gemma":[0.009361784,0.0009652016,0.001240977,0.02984814,0.0005628818,0.001521249,0.001679696,0.002745385,0.04688628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01110759,"about_ca_system_score_gemma":0.02709274,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8933042,"about_ca_topic_score_gemma":0.9137328,"domain_scores_codex":[0.9979485,0.00009834899,0.0002498472,0.0002896374,0.0008888621,0.0005248885],"domain_scores_gemma":[0.9912102,0.0007270798,0.000902081,0.0004885162,0.005884206,0.0007879268],"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":[0.0000160394,0.000005997086,0.001021552,0.0001765393,0.00001203421,0.000008060417,0.00001101339,0.00008295873,0.000009482214,0.0003716992,0.9974284,0.0008562829],"study_design_scores_gemma":[0.0001414606,0.00001108835,0.02694632,0.0005576027,0.00003669693,0.00004080392,0.0002339712,0.0004262993,0.0001655827,0.0005284407,0.9708679,0.00004377212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008904129,0.000042831,0.00001144336,0.00005651109,0.00001396644,0.000004128729,0.9991841,0.00003613714,0.0005619081],"genre_scores_gemma":[0.0005864769,0.0001193849,0.00006880884,0.00003254571,0.000009027263,0.00002373957,0.9972114,0.00002245745,0.001926119],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1066958,"threshold_uncertainty_score":0.2146482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001907347349216239,"score_gpt":0.232253114101852,"score_spread":0.2303457667526357,"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."}}