{"id":"W7026497581","doi":"","title":"After facing its biggest storm ever, Top Employer winner, Hydro Ottawa, remains resilient thanks to a connected workforce","year":2023,"lang":"en","type":"other","venue":"","topic":"Healthcare Systems and Challenges","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Storm; Workforce; Work (physics); Hydroelectricity","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":[0.001291487,0.0007050823,0.0003004688,0.000836284,0.009447608,0.007423108,0.001555046,0.008511448,0.1750738],"category_scores_gemma":[0.003783408,0.0003503791,0.0005228534,0.0006803708,0.002428686,0.003547895,0.004894311,0.006752751,0.05822408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01370572,"about_ca_system_score_gemma":0.1008111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6127397,"about_ca_topic_score_gemma":0.8870074,"domain_scores_codex":[0.9986094,0.00004790502,0.00002224884,0.00006614373,0.0005018529,0.0007523674],"domain_scores_gemma":[0.9920691,0.0002247312,0.0001106129,0.000152041,0.001633686,0.005809798],"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":[0.00001379137,0.00002156717,0.0005583325,0.00003423262,0.000002061779,0.00006732248,0.0001063991,0.0000294829,0.00009895,0.005228951,0.9787726,0.01506625],"study_design_scores_gemma":[0.00000663584,0.000009578026,0.001617712,0.00009962179,0.000002084902,0.00003714137,0.0009274683,0.00003974569,0.00004997398,0.001137823,0.9960623,0.000009877656],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005240615,0.002802907,0.0004340929,0.4104932,0.02235653,0.0001136361,0.003712618,0.0005828444,0.5542635],"genre_scores_gemma":[0.009711355,0.001288226,0.0003387137,0.0315957,0.0008607957,0.00004329005,0.0009199569,0.0001816854,0.9550603],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6127397,"threshold_uncertainty_score":0.7790818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08498614675147961,"score_gpt":0.411803249048277,"score_spread":0.3268171022967974,"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."}}