{"id":"W6920171485","doi":"10.6068/dp14ba7cb8aec37","title":"Trend 1997 - 2006. Statistics Canada. CANSIM: Business, Consumer and Property Services - Information and Culture | 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: 075-001-011.","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; Economic statistics; Official statistics; Publishing; Publication; The Internet; Information system; Big data; 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":[0.002152966,0.002473671,0.002820938,0.0102997,0.003692313,0.005427548,0.005214458,0.001490829,0.08768079],"category_scores_gemma":[0.0210411,0.001759857,0.002011885,0.04970624,0.0007101505,0.002946209,0.002563643,0.003443889,0.05678331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05351164,"about_ca_system_score_gemma":0.1581888,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9933845,"about_ca_topic_score_gemma":0.9910165,"domain_scores_codex":[0.994705,0.0003140614,0.0005584817,0.0006432794,0.002611057,0.001167995],"domain_scores_gemma":[0.9518526,0.001625417,0.001288899,0.001201578,0.04208862,0.001942897],"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":[0.00001805373,0.000005997196,0.0008748792,0.0002065839,0.00001644705,0.000005949794,0.00001914147,0.00009447397,0.000006905924,0.0003638481,0.9971166,0.001271251],"study_design_scores_gemma":[0.0001248438,0.00001130234,0.02008344,0.000865083,0.00006277063,0.00002365531,0.000551304,0.0004570567,0.0001647486,0.0006696095,0.9769099,0.00007625999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004805265,0.00004077371,0.00002243777,0.0001228999,0.00002634513,0.00001346226,0.9988337,0.00004844362,0.0008439228],"genre_scores_gemma":[0.0007180662,0.0002653462,0.0003381904,0.0001479433,0.00001873876,0.0001209482,0.99445,0.00009528008,0.003845537],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08768079,"threshold_uncertainty_score":0.388256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614392847849154,"score_gpt":0.2124308433459667,"score_spread":0.1962869148674752,"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."}}