{"id":"W6938945591","doi":"10.6068/dp14ba8b0d49e37","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Seniors - Work and Retirement | Country: Canada | Table: Survey of innovation, selected service industries, type and location of organizations with which innovative business units cooperated and collaborated in order to develop products or processes | Variable: Organization in all other countries, Data processing, hosting, and related services, Consultants | Units: %, 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-186.","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; Economic statistics; Official statistics; Work (physics); Service (business); Socioeconomic status; Population; Descriptive statistics; Summary statistics","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":[0.002380348,0.002382976,0.002830435,0.00862926,0.003938391,0.005260508,0.005340999,0.001565155,0.0865394],"category_scores_gemma":[0.02140337,0.001683226,0.002065195,0.0475948,0.000666105,0.002235622,0.002410434,0.002919769,0.05618808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05827098,"about_ca_system_score_gemma":0.1457807,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953728,"about_ca_topic_score_gemma":0.9939849,"domain_scores_codex":[0.9949121,0.0002934985,0.0006286922,0.0005792739,0.002383444,0.001203067],"domain_scores_gemma":[0.9529011,0.00175406,0.001268748,0.001160531,0.04088427,0.002031321],"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":[0.00002037349,0.000006871618,0.0009515269,0.0002170186,0.00001489013,0.000005121457,0.00002207221,0.0000706081,0.000006245341,0.000211493,0.9973944,0.001079267],"study_design_scores_gemma":[0.0002039616,0.00001395383,0.03594352,0.0009872802,0.00008820483,0.00002312587,0.00076096,0.0003428387,0.0001787075,0.0004884058,0.960871,0.00009795625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004851496,0.00003738546,0.00001199027,0.00008978137,0.00001807675,0.00001194123,0.9990568,0.0000358861,0.000689664],"genre_scores_gemma":[0.000756721,0.000227803,0.0002648379,0.0001553895,0.00001580989,0.0001258439,0.9946988,0.00007222052,0.003682642],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0865394,"threshold_uncertainty_score":0.4227875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03255005668325219,"score_gpt":0.2520136915994052,"score_spread":0.219463634916153,"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."}}