{"id":"W6901564911","doi":"10.6068/dp14ba8c210a973","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 using sources of information needed for suggesting or contributing to the development of innovation | Variable: Moderately high importance, Internet service providers, Federal government research laboratories | 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; Government (linguistics); Economic statistics; Population; Service (business); Summary statistics; Investment (military); Publication; Socioeconomic status","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":[0.002431773,0.002383707,0.002744457,0.008949214,0.003778634,0.005288543,0.00554412,0.001660435,0.09343378],"category_scores_gemma":[0.02177948,0.001804444,0.002211142,0.04604607,0.0006854035,0.002381033,0.002537685,0.003267022,0.05538814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0612216,"about_ca_system_score_gemma":0.1428954,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950787,"about_ca_topic_score_gemma":0.9933798,"domain_scores_codex":[0.9952227,0.0002595081,0.0005541668,0.0005096409,0.002260096,0.001193883],"domain_scores_gemma":[0.9549088,0.001608158,0.001326041,0.001117629,0.03894737,0.002091898],"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":[0.00001976428,0.000007469955,0.001031563,0.0002292123,0.00001512005,0.000006150833,0.00002266165,0.00007523351,0.000006472301,0.0002645529,0.9970207,0.001301084],"study_design_scores_gemma":[0.0001935356,0.00001500867,0.04053258,0.001094592,0.00008109589,0.000027698,0.0007049114,0.0003649438,0.0001841411,0.0005575843,0.9561377,0.0001063019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005222414,0.00003968607,0.00001396188,0.0001040992,0.00001998702,0.0000149523,0.998976,0.00003614798,0.0007430409],"genre_scores_gemma":[0.000888695,0.0002867978,0.0003269373,0.0001718505,0.0000175725,0.0001535051,0.9937412,0.00007513823,0.004338206],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09343378,"threshold_uncertainty_score":0.4441959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07963438342384516,"score_gpt":0.3008696943368762,"score_spread":0.221235310913031,"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."}}