{"id":"W6901462943","doi":"10.6068/dp14ba8b7498631","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Seniors - Income, Pensions and Wealth | Country: Canada | Table: Survey of innovation, selected service industries, innovative business units engaged in activities linked to product or process innovation | Variable: External research and development, Management, scientific and technical consulting services | Units: %, 2003. 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; Economic statistics; Government (linguistics); Population; Service (business); Socioeconomic status; Summary statistics; Social security; Investment (military)","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":[0.002293747,0.002351105,0.002709241,0.008638913,0.003667104,0.005398468,0.005434799,0.001628814,0.08597346],"category_scores_gemma":[0.02047946,0.001716967,0.002144813,0.04544183,0.0006791166,0.002393776,0.002474965,0.003243938,0.05250825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05628741,"about_ca_system_score_gemma":0.1300307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946036,"about_ca_topic_score_gemma":0.9926963,"domain_scores_codex":[0.9953783,0.0002464289,0.0005238902,0.000519275,0.002139315,0.001192817],"domain_scores_gemma":[0.9592592,0.001483157,0.001199858,0.001056224,0.03515182,0.001849709],"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":[0.00002035018,0.000007116252,0.001006222,0.0002267283,0.00001542595,0.000006278357,0.00002194842,0.00007609492,0.000006861421,0.0002687259,0.9971384,0.001205772],"study_design_scores_gemma":[0.0001819841,0.00001348082,0.03671097,0.001056103,0.0000792929,0.00002676724,0.0006659749,0.0003494039,0.0001925498,0.0005425647,0.9600797,0.0001012254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004834047,0.00003863706,0.00001245985,0.00008916784,0.0000181351,0.00001203803,0.9991261,0.00003246286,0.000622518],"genre_scores_gemma":[0.000796241,0.0002623239,0.0002782346,0.000143676,0.00001619007,0.0001270657,0.9946852,0.00006631309,0.003624787],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08597346,"threshold_uncertainty_score":0.4083956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1036301754569661,"score_gpt":0.3250193608581598,"score_spread":0.2213891854011937,"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."}}