{"id":"W6980889493","doi":"","title":"Data Behind Walls: Working Behind the Walls&#13;\\nof the Statistics Canada Research Data Centres","year":2018,"lang":"en","type":"other","venue":"QSpace (Queen's University Library)","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Data collection; Official statistics; Work (physics); Statistical analysis; Census","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.01675081,0.001476572,0.001229587,0.006086097,0.008443519,0.01795165,0.003778013,0.004744367,0.2348329],"category_scores_gemma":[0.1014426,0.00233073,0.001267962,0.01314398,0.005521163,0.01161182,0.006997246,0.006181391,0.1644453],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03198164,"about_ca_system_score_gemma":0.1650118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8990423,"about_ca_topic_score_gemma":0.909269,"domain_scores_codex":[0.9855355,0.002030573,0.001122408,0.001020496,0.007257318,0.003033657],"domain_scores_gemma":[0.8977311,0.01843088,0.003798827,0.01260824,0.04849788,0.01893312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.000005055683,0.000001798295,0.000162976,0.00001723891,8.761363e-7,0.000005807552,0.00005804039,0.00001251597,0.00001062743,0.001595863,0.9926441,0.005485175],"study_design_scores_gemma":[0.000009624045,0.000002113197,0.001640006,0.000147164,0.000002405498,0.000009036662,0.0002743321,0.00008539961,0.00009487629,0.001922104,0.9957917,0.00002117406],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001386154,0.003318403,0.004415573,0.2289785,0.00928266,0.0005964134,0.2419345,0.01176007,0.4983276],"genre_scores_gemma":[0.01345165,0.005201593,0.01390088,0.03281301,0.002926552,0.0007091989,0.1254905,0.01667696,0.7888297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.996222,"threshold_uncertainty_score":0.7855942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08487043178330485,"score_gpt":0.3260839049684922,"score_spread":0.2412134731851873,"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."}}