{"id":"W6901875721","doi":"10.6068/dp14baa3afc7169","title":"Trend 1982 - 1996. Statistics Canada. CANSIM: Business, Consumer and Property Services - Information and Culture | Country: Canada | Province: Newfoundland and Labrador | Table: Summary statistics for firms providing computer services | Variable: All other expenses | Units: # Units x 1,000, 1982-1996. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-011.","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; Official statistics; Economic statistics; Publishing; Publication; Summary statistics; The Internet; Index (typography)","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":[0.002251009,0.002556265,0.00274356,0.01029716,0.003698568,0.005416758,0.004966113,0.001582306,0.09875764],"category_scores_gemma":[0.02131747,0.00187256,0.001905668,0.05002974,0.0006923375,0.003036858,0.002415703,0.003274397,0.06540017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05747372,"about_ca_system_score_gemma":0.1619846,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946027,"about_ca_topic_score_gemma":0.9925616,"domain_scores_codex":[0.9944787,0.0003079266,0.0005857564,0.000673758,0.002743744,0.001210137],"domain_scores_gemma":[0.9559059,0.001509563,0.001291083,0.001212604,0.0381871,0.001893694],"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":[0.00001951942,0.00000586592,0.0009066887,0.0002083984,0.00001693609,0.00000718676,0.00002120361,0.0001057451,0.000008623405,0.0003970731,0.9967887,0.001514211],"study_design_scores_gemma":[0.0001072567,0.00001064116,0.02138035,0.0006778759,0.00005198463,0.00002167364,0.0004840831,0.0003569017,0.0001582737,0.0005460041,0.9761307,0.00007413944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005334905,0.00004729119,0.00002455317,0.0001392776,0.00003192396,0.00001452714,0.9985116,0.00005742927,0.001119996],"genre_scores_gemma":[0.000914449,0.0003306739,0.0003876972,0.0001523207,0.00002209376,0.0001356065,0.9913646,0.0001267404,0.006565796],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09875764,"threshold_uncertainty_score":0.417003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02120507171302142,"score_gpt":0.2326602243599339,"score_spread":0.2114551526469125,"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."}}