{"id":"W6920276001","doi":"10.6068/dp14ba8fc5b2196","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Seniors - Income, Pensions and Wealth | Country: Canada | Table: Survey of innovation, selected service industries, percentage of full-time employees who were involved in research and development activities | Variable: Support activities for forestry, 25% to 49% of full-time employees who were involved in research and development activities, Non-innovative business units | 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":"Census; Official statistics; Summary statistics; Government (linguistics); Population; Economic statistics; Socioeconomic status; Social security; Personal income; Service (business)","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":[0.002524357,0.002457542,0.003001519,0.008256017,0.003163169,0.004937659,0.005691571,0.001630848,0.08104629],"category_scores_gemma":[0.02099912,0.001893456,0.002296162,0.04464968,0.000652462,0.002293552,0.002275264,0.00356228,0.0473814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0523089,"about_ca_system_score_gemma":0.116189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993356,"about_ca_topic_score_gemma":0.9906986,"domain_scores_codex":[0.9953653,0.000263447,0.0006213976,0.0005114374,0.00213546,0.001102967],"domain_scores_gemma":[0.9528763,0.001725756,0.001448715,0.001057281,0.04096686,0.001925132],"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":[0.00002709437,0.00001018196,0.001373717,0.0003284868,0.00001929788,0.000007010512,0.00002364178,0.00009103526,0.00000790185,0.0002214834,0.9965855,0.001304634],"study_design_scores_gemma":[0.0003135065,0.00002051164,0.0561898,0.001446302,0.0001010189,0.00003077885,0.0007781818,0.0004197366,0.0002152725,0.0005629523,0.939806,0.000115845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005625346,0.00004059722,0.00001124694,0.00008284407,0.00001859091,0.00001448577,0.9992428,0.00002777934,0.0005055143],"genre_scores_gemma":[0.0008251356,0.0002621055,0.0002416504,0.000137156,0.0000174454,0.0001552756,0.9950471,0.00005677365,0.003257346],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08104629,"threshold_uncertainty_score":0.3795294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1102149614918306,"score_gpt":0.3268827309243308,"score_spread":0.2166677694325002,"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."}}