{"id":"W6920173066","doi":"10.6068/dp14ba7cb4aa213","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Seniors - Housing and Living Arrangements | Country: Canada | Table: Personnel engaged in research and development, by performing sector, occupational category and type of science | Variable: Researchers, Natural sciences and engineering, Business enterprise | Units: #, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-184.","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; Population; Summary statistics; Socioeconomic status; Population statistics; Social 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":[0.002336018,0.00238944,0.002773226,0.008685588,0.003788888,0.005075385,0.005233524,0.00157095,0.1005774],"category_scores_gemma":[0.02032505,0.001819383,0.002344367,0.03877779,0.0006317054,0.002678963,0.002676925,0.003194056,0.0549221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05351695,"about_ca_system_score_gemma":0.138733,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948562,"about_ca_topic_score_gemma":0.9935125,"domain_scores_codex":[0.9954881,0.0002884482,0.000502467,0.0005664162,0.002130717,0.00102386],"domain_scores_gemma":[0.9635352,0.001205472,0.001080812,0.001089184,0.03128836,0.001800833],"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":[0.00002344673,0.000006309115,0.001217265,0.0002553561,0.00002167337,0.000006538219,0.00002690622,0.00009184686,0.000007799795,0.0003843076,0.9962244,0.001734027],"study_design_scores_gemma":[0.0001654393,0.00001445249,0.03076939,0.001101973,0.00008205504,0.00003128598,0.000638621,0.0004738396,0.0001693809,0.0007750093,0.9656727,0.0001057046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006050307,0.00005281804,0.0000283725,0.0001301843,0.00003068211,0.00001666417,0.9987018,0.0000566146,0.0009223193],"genre_scores_gemma":[0.0009718661,0.000323003,0.0004719725,0.0001940103,0.00002228789,0.0001663824,0.9928821,0.0001241175,0.004844205],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1005774,"threshold_uncertainty_score":0.3882945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08734134459593469,"score_gpt":0.310139468940451,"score_spread":0.2227981243445163,"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."}}