{"id":"W7064487495","doi":"","title":"CIBC named one of Canada's Greenest Employers for 2nd consecutive year","year":2023,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","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":[0.001331967,0.0008199719,0.0007165396,0.002065571,0.01508631,0.00742582,0.001751558,0.009624744,0.2504418],"category_scores_gemma":[0.00248829,0.0006280658,0.0008723966,0.0008944111,0.001439872,0.001039055,0.002564448,0.006270166,0.09245725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0242522,"about_ca_system_score_gemma":0.1193424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8848104,"about_ca_topic_score_gemma":0.9754438,"domain_scores_codex":[0.9970859,0.00004218852,0.00002164452,0.0001387787,0.001195433,0.001516171],"domain_scores_gemma":[0.9921378,0.0001236501,0.00004272938,0.0001176048,0.00299444,0.004583796],"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":[0.00002046285,0.00003515734,0.0005339835,0.00001256688,0.000002183509,0.00005469962,0.00003575342,0.00003828644,0.0001271719,0.002616332,0.9894617,0.007061679],"study_design_scores_gemma":[0.00001255017,0.00001410687,0.001746948,0.00002965375,0.000003105407,0.00002674551,0.0003523247,0.0001626666,0.0001606544,0.0003764209,0.9971018,0.00001307232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006651734,0.001098096,0.0007859638,0.07212353,0.01902256,0.0004965556,0.007396937,0.00118584,0.8912388],"genre_scores_gemma":[0.002711059,0.00009378202,0.0001127641,0.003720101,0.0001036857,0.0000156301,0.0004084444,0.00006019618,0.9927742],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2504418,"threshold_uncertainty_score":0.8378114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576898704555652,"score_gpt":0.251006212841653,"score_spread":0.2352372257960965,"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."}}