{"id":"W7132937532","doi":"","title":"The benefits of an apathetic anchor: Why Waterloo adjusted faster than Ottawa","year":2021,"lang":"en","type":"other","venue":"TSpace","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Public policy; Government (linguistics); Work (physics); Data collection","routes":{"ca_aff":false,"ca_fund":true,"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":[0.002058641,0.0002085239,0.000283055,0.0007247657,0.009210014,0.007924814,0.001068558,0.002600825,0.0492658],"category_scores_gemma":[0.01847978,0.0003219598,0.0002753038,0.002208558,0.005288159,0.005660536,0.003590943,0.003722087,0.00450715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02636368,"about_ca_system_score_gemma":0.02902516,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8681323,"about_ca_topic_score_gemma":0.936201,"domain_scores_codex":[0.9966857,0.0005859209,0.0001036662,0.0004564569,0.0009500699,0.001218211],"domain_scores_gemma":[0.9933794,0.00117848,0.00056884,0.0006537382,0.002489569,0.001729978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006598615,0.0001301854,0.07543172,0.0003246658,0.0001017241,0.001165562,0.05212815,0.0008033045,0.001808402,0.374076,0.3604322,0.1329383],"study_design_scores_gemma":[0.00006865211,0.00007780795,0.07227245,0.0004019471,0.00006471911,0.0001142577,0.04429032,0.000553274,0.0007251354,0.01793159,0.8633378,0.0001620516],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2136914,0.001946775,0.001589732,0.1208078,0.001395178,0.00007787304,0.001617731,0.0002435338,0.6586299],"genre_scores_gemma":[0.8697529,0.0008091735,0.0006116409,0.006414598,0.00007670068,0.00002662582,0.0002400741,0.0002723742,0.1217959],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1318677,"threshold_uncertainty_score":0.2652885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02628988016282455,"score_gpt":0.2840190488786843,"score_spread":0.2577291687158597,"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."}}