{"id":"W7038223964","doi":"","title":"Hydro Ottawa is greening Canada's capital through innovative initiatives; makes Canada's Greenest Employer list","year":2024,"lang":"en","type":"other","venue":"","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Greening; Capital (architecture); Work (physics); Natural capital; Capital expenditure","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":[0.001059005,0.0007171627,0.0005175329,0.00212126,0.01111725,0.005854474,0.00141138,0.005392398,0.25207],"category_scores_gemma":[0.00332725,0.0009177082,0.0008882178,0.001696153,0.001431649,0.001213202,0.002223174,0.003836653,0.07393939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03624174,"about_ca_system_score_gemma":0.1893841,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9813965,"about_ca_topic_score_gemma":0.9959424,"domain_scores_codex":[0.9976611,0.00004111762,0.00003163123,0.0001009493,0.001304543,0.0008606319],"domain_scores_gemma":[0.9917783,0.000278672,0.00008269398,0.0002105791,0.004538804,0.003110964],"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":[0.00001532629,0.00002344449,0.0009110877,0.00002538372,0.000002856254,0.00003699408,0.00005736245,0.00006838478,0.0001109455,0.003093685,0.9845231,0.01113144],"study_design_scores_gemma":[0.0000148572,0.000008813096,0.00287164,0.0000387689,0.00000489334,0.0000150553,0.0002484168,0.0001718942,0.0001402708,0.0004514965,0.9960169,0.00001704059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005019811,0.0007778183,0.000492958,0.02643849,0.002617422,0.0003109181,0.01693921,0.0008624777,0.9465409],"genre_scores_gemma":[0.003185122,0.0001729466,0.0002000765,0.002519806,0.00004421921,0.00002840531,0.0009609773,0.00008492755,0.9928035],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.25207,"threshold_uncertainty_score":0.8432581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463241567304075,"score_gpt":0.1958222112106381,"score_spread":0.1711897955375974,"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."}}