{"id":"W6976387534","doi":"10.6068/dp14ba7d003c172","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 research and development services | Variable: Aerospace product and parts manufacturing, 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; Information and Communications Technology; Product (mathematics); 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":[0.002489358,0.00247908,0.002863065,0.0105535,0.004279133,0.005851675,0.004980615,0.001623476,0.09959809],"category_scores_gemma":[0.02308088,0.001847354,0.002121989,0.05552374,0.0007580807,0.00280927,0.002380558,0.003338233,0.06114022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07453986,"about_ca_system_score_gemma":0.1911272,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962319,"about_ca_topic_score_gemma":0.9943851,"domain_scores_codex":[0.9934769,0.0003402971,0.0006766551,0.0006572705,0.003350499,0.001498435],"domain_scores_gemma":[0.9468136,0.001773082,0.001255584,0.001147683,0.04689566,0.002114339],"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":[0.00001723926,0.000006979567,0.0008104938,0.0002281925,0.00001421055,0.00000603185,0.00002150211,0.00009110372,0.000007458435,0.0003297028,0.9970601,0.001406994],"study_design_scores_gemma":[0.0001229912,0.00001224171,0.02597728,0.0008303244,0.00007194735,0.00002370177,0.0006250048,0.0003286674,0.000167857,0.0005096057,0.9712464,0.00008391883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005487918,0.00006350415,0.00002149163,0.0001394355,0.0000317385,0.00001567303,0.9984397,0.00004959084,0.001183957],"genre_scores_gemma":[0.001096715,0.0004356152,0.0004802582,0.0002335564,0.00002368786,0.0001476055,0.990455,0.0001186861,0.007008833],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09959809,"threshold_uncertainty_score":0.5408271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06527225222040346,"score_gpt":0.2873013043486837,"score_spread":0.2220290521282802,"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."}}