{"id":"W7019626666","doi":"","title":"Healthcare of Ontario Pension Plan Trust Fund Buys 7,733 Shares of Ameresco, Inc. (NYSE:AMRC)","year":2022,"lang":"en","type":"other","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pension plan; Plan (archaeology); Health care; Pension; Government (linguistics); Pension fund","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":[0.0005815773,0.0004885331,0.0002908483,0.001108848,0.004363664,0.002651223,0.00057368,0.002055111,0.2942236],"category_scores_gemma":[0.002367484,0.000403759,0.0004475103,0.001053808,0.0005812005,0.0006981731,0.001237834,0.00105924,0.08339515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01700625,"about_ca_system_score_gemma":0.044722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8828667,"about_ca_topic_score_gemma":0.9667237,"domain_scores_codex":[0.9990872,0.00003092431,0.00002198687,0.00006285918,0.00050547,0.0002915607],"domain_scores_gemma":[0.9974979,0.00008691,0.00005282162,0.00007066319,0.001225643,0.00106616],"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":[0.00005243468,0.00001989219,0.001454509,0.0000430402,0.000004561597,0.00006096483,0.00009845041,0.00003689057,0.0001578806,0.003814449,0.9707822,0.02347466],"study_design_scores_gemma":[0.00002059214,0.00001303511,0.003857303,0.00003414828,0.000003702809,0.00002767784,0.000148218,0.0001103595,0.00009400415,0.0002163447,0.9954684,0.00000618751],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004603129,0.0009588756,0.0002227996,0.01379959,0.0005775824,0.0001604286,0.01474102,0.0003886786,0.9645479],"genre_scores_gemma":[0.008450108,0.0003244637,0.0001371571,0.001066087,0.00005638102,0.00002127439,0.002163251,0.00006962851,0.9877116],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2942236,"threshold_uncertainty_score":0.984276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06122736275778465,"score_gpt":0.3169745014257294,"score_spread":0.2557471386679447,"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."}}