{"id":"W6976811303","doi":"10.6068/dp14ba8e72af188","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Seniors - Income, Pensions and Wealth | Country: Canada | Table: Survey of innovation, selected service industries, percentage of business units that used programs sponsored by the federal or provincial and/or territorial governments | Variable: Government research and development grants, Federal government, Support activities for forestry, 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":"Health, Education, and Cultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Government (linguistics); Economic statistics; Population; Summary statistics; Service (business); Investment (military); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002949521,0.0004978019,0.0008304202,0.0000381701,0.001295283,0.000391911,0.00125182,0.0003636975,0.0001212353],"category_scores_gemma":[0.0121132,0.0003684422,2.221945e-8,0.01483963,0.0005909043,0.0005255584,0.0008095108,0.0005648952,1.714957e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001391292,"about_ca_system_score_gemma":0.2974115,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9996057,"about_ca_topic_score_gemma":0.9998488,"domain_scores_codex":[0.9934008,0.001058053,0.001019881,0.0008645295,0.002844463,0.000812286],"domain_scores_gemma":[0.9756618,0.001157099,0.001165764,0.000925836,0.02077359,0.0003159773],"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":[0.000864416,0.0001487243,0.003855804,0.00077947,0.0002588927,0.000008887484,0.0001536221,1.874552e-7,0.000001177959,0.0001979569,0.9931809,0.0005500159],"study_design_scores_gemma":[0.00117423,0.0001234737,0.002229051,0.0001031536,0.00006528737,0.00001162083,0.01690492,0.00002655583,2.16374e-7,4.082909e-8,0.978942,0.0004194631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002173987,0.0001671901,0.000006189754,0.00005449947,0.0008503646,0.002648589,0.9959285,0.00001680416,0.0001104592],"genre_scores_gemma":[0.0001623037,0.001734923,0.000121558,0.0001079047,0.0001929877,0.00005983605,0.9946833,0.00007589751,0.002861295],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2960202,"threshold_uncertainty_score":0.9998767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1028441169044564,"score_gpt":0.3229492462698716,"score_spread":0.2201051293654152,"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."}}