{"id":"W3123004802","doi":"","title":"Getting More Buildings for our Bucks: Canadian Infrastructure Policy in 2016","year":2016,"lang":"en","type":"article","venue":"e-briefs","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Critical infrastructure; Environmental planning; Finance; Public administration; Geography; Political science; Computer security; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003089462,0.0001162003,0.0001422114,0.0002016067,0.0003326504,0.00006219641,0.0003183684,0.0001555102,0.00009384201],"category_scores_gemma":[0.001335435,0.00009854932,0.00006226321,0.000352302,0.0001041917,0.0002493793,0.00002007555,0.00009463193,0.0000411886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001039317,"about_ca_system_score_gemma":0.002697329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9578921,"about_ca_topic_score_gemma":0.9614566,"domain_scores_codex":[0.9985811,0.00003287861,0.0001676073,0.0002374797,0.0001730938,0.0008078057],"domain_scores_gemma":[0.9991661,0.00007385025,0.00008366848,0.0001607552,0.0000472609,0.000468344],"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":[0.00001032936,0.000004253349,0.00506414,0.00001123347,0.000009006605,0.00001333478,0.009706009,0.00000328764,0.0003705931,0.1200451,0.822717,0.04204576],"study_design_scores_gemma":[0.000342642,0.000009383872,0.02261369,0.00007511194,0.000002180702,0.000001435663,0.0004926216,0.000001425538,0.0001034709,0.007057728,0.9691298,0.000170511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1946695,0.0002494463,0.0001445501,0.7622036,0.0006555193,0.000811833,0.001598082,0.00007812007,0.03958926],"genre_scores_gemma":[0.9432895,0.00006253316,0.0004088144,0.01692774,0.002309807,0.00003303988,0.000002513126,0.00002425245,0.03694183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7486199,"threshold_uncertainty_score":0.4784946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009142147584906663,"score_gpt":0.29316517243105,"score_spread":0.2840230248461433,"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."}}