{"id":"W7009297811","doi":"","title":"DREAM Unlimited : Secures First Large Tenant, the Federal Government of Canada at Zibi Development","year":2019,"lang":"en","type":"other","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Dream; Public policy; Work (physics); State (computer science)","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":[0.001514489,0.0006337974,0.0003836401,0.001363579,0.01006229,0.008998053,0.001444745,0.003562094,0.1603408],"category_scores_gemma":[0.004974496,0.0005464236,0.0004256987,0.001805748,0.001724292,0.002466986,0.002971605,0.003837225,0.01779589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05551284,"about_ca_system_score_gemma":0.2013862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9799308,"about_ca_topic_score_gemma":0.9919702,"domain_scores_codex":[0.9982558,0.00007317379,0.00001925094,0.00009792342,0.000825885,0.00072799],"domain_scores_gemma":[0.9964893,0.0001500045,0.00004669845,0.00009557787,0.00155193,0.001666518],"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":[0.00002220808,0.00001357857,0.0005246176,0.00005641827,0.00000373116,0.00005975318,0.0002301146,0.0000866561,0.0001028472,0.03232475,0.9518947,0.01468071],"study_design_scores_gemma":[0.000007645494,0.000005110425,0.001472594,0.00006043526,0.00000244111,0.00001648769,0.0006147732,0.0001395294,0.0000966406,0.001611471,0.9959599,0.00001299858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005495573,0.004327563,0.001241423,0.07755651,0.002319842,0.0003093175,0.01438127,0.001220184,0.8931484],"genre_scores_gemma":[0.01906384,0.001252859,0.0006937391,0.003346603,0.00006485217,0.00005499441,0.001589933,0.000208243,0.9737249],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1603408,"threshold_uncertainty_score":0.5363934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007535219307733744,"score_gpt":0.2147727664073563,"score_spread":0.2072375470996226,"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."}}