{"id":"W6957981163","doi":"10.6068/dp14ba902aeed74","title":"Most Recent Data (2005). Statistics Canada. CANSIM: Seniors - Income, Pensions and Wealth | Country: Canada | Table: Survey of innovation, logging and manufacturing industries, percentage of plants with research and development services that were supplied from different locations | Variable: From Mexico, Radio and television broadcasting and wireless communications equipment manufacturing, Plants that bought or did not buy research and development services, Innovative plants | Units: %, 2005. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-185.","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; Census; Government (linguistics); Population; Summary statistics; Investment (military); Socioeconomic status; Population statistics; Economic statistics; Personal income","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":[0.002117507,0.002461538,0.002982732,0.00802029,0.002999441,0.005010396,0.005072615,0.001609455,0.07725721],"category_scores_gemma":[0.0184602,0.001751543,0.00208599,0.04359211,0.0006109256,0.002349935,0.002245073,0.003339293,0.04657587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04403004,"about_ca_system_score_gemma":0.1028249,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.991518,"about_ca_topic_score_gemma":0.9885067,"domain_scores_codex":[0.9955348,0.0002372984,0.0005889919,0.0005022073,0.002062142,0.001074564],"domain_scores_gemma":[0.9591548,0.001488027,0.001411939,0.0008862308,0.03530594,0.00175294],"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":[0.00002378708,0.000009870255,0.001456089,0.0003031482,0.00001982861,0.000007192984,0.00002195315,0.00009464432,0.000006797826,0.0002353035,0.9966269,0.001194558],"study_design_scores_gemma":[0.0002700198,0.00002131406,0.05241967,0.001344787,0.0001013814,0.00003158882,0.0008151134,0.0004140269,0.0002098644,0.0004988199,0.9437672,0.0001061804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006342876,0.00004620908,0.00001089177,0.00008161768,0.00001873613,0.00001204654,0.9992335,0.00002627694,0.0005073631],"genre_scores_gemma":[0.000844221,0.0002795644,0.0001949239,0.0001344499,0.00001798231,0.0001154778,0.9950369,0.00004700306,0.00332949],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07725721,"threshold_uncertainty_score":0.3194618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.114127792450452,"score_gpt":0.3202346738563218,"score_spread":0.2061068814058698,"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."}}