{"id":"W6957774048","doi":"10.6068/dp14ba8c5fe3197","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 expenditures on research and development services that were supplied from different locations | Variable: From the United States, Primary metal manufacturing, 10% to 24% of expenditures, 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":"Census; Official statistics; Summary statistics; Government (linguistics); Population; Economic statistics; Investment (military); Personal income; Socioeconomic status; Social security","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":[0.002044896,0.002330168,0.002755496,0.007830175,0.003188711,0.005166508,0.005066554,0.001512225,0.0833815],"category_scores_gemma":[0.01644434,0.001699963,0.002074221,0.04185795,0.0006092083,0.002372306,0.002190908,0.003195797,0.05424006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04668145,"about_ca_system_score_gemma":0.1126483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924889,"about_ca_topic_score_gemma":0.990455,"domain_scores_codex":[0.9955753,0.000224728,0.0005046834,0.0004764735,0.002090505,0.001128354],"domain_scores_gemma":[0.9627922,0.001244773,0.001206294,0.0008302639,0.03231115,0.001615364],"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":[0.00002008544,0.000008299307,0.001128581,0.0002306444,0.00001531732,0.000006488792,0.00002002012,0.0000804225,0.000006344484,0.000230552,0.9970884,0.001164923],"study_design_scores_gemma":[0.0001859149,0.00001563145,0.03899584,0.0009755908,0.00007341868,0.00002736575,0.0006570925,0.0003228106,0.000190276,0.0004276366,0.9580398,0.0000885437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006136954,0.00004546644,0.00001175244,0.00009012114,0.00001994512,0.00001148674,0.9990345,0.00003176676,0.0006935],"genre_scores_gemma":[0.0007708718,0.0002513003,0.0002137576,0.0001414783,0.0000168343,0.00009642337,0.9943079,0.00005888326,0.004142534],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0833815,"threshold_uncertainty_score":0.3386992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06021150422718769,"score_gpt":0.2854268632361739,"score_spread":0.2252153590089862,"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."}}