{"id":"W6920333086","doi":"10.6068/dp14ba7d49bda33","title":"Most Recent Data (2005). Statistics Canada. CANSIM: Information and Communications Technology - Information and Communications Technology Sector | Country: Canada | Table: Survey of innovation, logging and manufacturing industries, percentage of plants with full-time employees who were involved in marketing, sales or client services | Variable: Aerospace product and parts manufacturing, 0% of full-time employees who were involved in marketing, sales or client services, All plants | Units: %, 2005. 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; Census; Summary statistics; Product (mathematics); Information and Communications Technology; Business statistics; Information technology; Telecommunications equipment","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":[0.002553562,0.002525433,0.003052347,0.009807789,0.003835774,0.005228125,0.005304073,0.001684176,0.0872262],"category_scores_gemma":[0.02402338,0.001757084,0.002241672,0.05202518,0.0007375972,0.002483595,0.00234548,0.003292186,0.05285538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06299642,"about_ca_system_score_gemma":0.1646397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995585,"about_ca_topic_score_gemma":0.9939097,"domain_scores_codex":[0.9936883,0.0003624604,0.0007398303,0.0006886484,0.003162649,0.001358113],"domain_scores_gemma":[0.947574,0.001881707,0.001375383,0.0011835,0.04604827,0.001937216],"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":[0.00001957133,0.000007249568,0.0009361177,0.0002676826,0.00001790458,0.000005951537,0.00001959737,0.0000951195,0.000007042476,0.0002663233,0.997133,0.001224391],"study_design_scores_gemma":[0.0001756094,0.00001467076,0.03215379,0.0009943335,0.00008982494,0.00002529607,0.0006302531,0.0003860656,0.0001675335,0.0005408715,0.9647294,0.00009226226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004942522,0.00005589294,0.00001553324,0.0001208367,0.00002513417,0.00001225375,0.9989561,0.00003820895,0.0007266197],"genre_scores_gemma":[0.0008766736,0.0003187073,0.0003454398,0.0002039001,0.00002000725,0.0001170497,0.9938445,0.0000767875,0.004196987],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0872262,"threshold_uncertainty_score":0.4570732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02885533186729224,"score_gpt":0.2506897255894074,"score_spread":0.2218343937221152,"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."}}