{"id":"W6920152063","doi":"10.6068/dp14ba7d0660c10","title":"Trend 1997 - 2006. Statistics Canada. CANSIM: Business, Consumer and Property Services - Professional, Scientific and Technical Services | Country: Canada | Table: Software development and computer services, summary statistics, by North American Industry Classification System (NAICS) | Variable: Computer systems design and related services, Number of establishments | Units: # Units, 1997-2006. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-013.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Official statistics; Economic statistics; Census; Publication; Service (business); Summary statistics; Socioeconomic status; Software","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":[0.002390711,0.002490566,0.002732103,0.0104036,0.003742422,0.005191008,0.005115292,0.001521124,0.1042936],"category_scores_gemma":[0.02245398,0.00186005,0.002011335,0.04876626,0.0006749005,0.003033693,0.002377633,0.003540239,0.06265955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05700138,"about_ca_system_score_gemma":0.1753301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938718,"about_ca_topic_score_gemma":0.9910903,"domain_scores_codex":[0.9941921,0.0003456819,0.0006084439,0.0006875935,0.002933763,0.001232403],"domain_scores_gemma":[0.9499902,0.001617015,0.001310289,0.001226839,0.04386413,0.001991593],"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":[0.00001833065,0.00000559146,0.0007824834,0.0002177374,0.00001534924,0.000005713347,0.00001858722,0.00008930541,0.000007794406,0.0004027799,0.9969213,0.001515181],"study_design_scores_gemma":[0.0001169776,0.00001152888,0.01939074,0.0008769102,0.00005972482,0.00002432278,0.0004729132,0.0003876446,0.0001479999,0.0006768251,0.977762,0.00007249441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000517597,0.00005566833,0.00003007484,0.0001565629,0.00003726323,0.00001786774,0.9983445,0.0000610441,0.001245221],"genre_scores_gemma":[0.0008716193,0.0003903949,0.0004862481,0.0002096235,0.00002531026,0.0001511148,0.9915938,0.0001412009,0.006130564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1042936,"threshold_uncertainty_score":0.4135759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02189142943950471,"score_gpt":0.234157972829849,"score_spread":0.2122665433903443,"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."}}