{"id":"W6999195469","doi":"","title":"CIBC named one of Canada's Greenest Employers for 2nd consecutive year","year":2023,"lang":"en","type":"other","venue":"","topic":"Spectroscopy and Quantum Chemical Studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics); Agency (philosophy); Perspective (graphical); Data collection","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":[0.001256117,0.0007721058,0.0007007659,0.002048615,0.01436524,0.007094476,0.001717587,0.008895323,0.2520104],"category_scores_gemma":[0.002509025,0.000610501,0.0007984218,0.0008754706,0.001324845,0.000959155,0.002367668,0.005986138,0.08667012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02414209,"about_ca_system_score_gemma":0.1145204,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.885781,"about_ca_topic_score_gemma":0.9771793,"domain_scores_codex":[0.9972203,0.00004148897,0.00002174257,0.0001421657,0.001171747,0.001402475],"domain_scores_gemma":[0.992374,0.000130539,0.00004512595,0.0001211024,0.003100092,0.004229227],"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":[0.00002442217,0.00004363528,0.0007374287,0.00001565316,0.000002594412,0.00006995137,0.00004309324,0.00004961416,0.0001675369,0.003189407,0.9857166,0.009939999],"study_design_scores_gemma":[0.00001309119,0.00001490118,0.002281002,0.00003078057,0.000003221612,0.00003108038,0.0003569322,0.0001891267,0.0001955824,0.00040495,0.9964654,0.00001385887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007941865,0.001137374,0.0008674481,0.06638809,0.01717383,0.0005481408,0.007375418,0.001156091,0.8974117],"genre_scores_gemma":[0.002775831,0.0000794717,0.000123418,0.003066052,0.00008662333,0.00001386868,0.0003475501,0.00005303011,0.9934542],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2520104,"threshold_uncertainty_score":0.8430589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352844139447301,"score_gpt":0.2437100159017396,"score_spread":0.2301815745072666,"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."}}