{"id":"W6991423968","doi":"","title":"Healthcare of Ontario Pension Plan Trust Fund Has $3.12 Million Stake in Avangrid, Inc. (NYSE:AGR)","year":2023,"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":"Plan (archaeology); Health care; Pension plan; Pension; Government (linguistics); Pension fund; Trust 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007986238,0.000550992,0.000370474,0.0012045,0.005312432,0.003616556,0.0006856586,0.003008758,0.3259252],"category_scores_gemma":[0.003731896,0.0005105252,0.0005303614,0.001147982,0.000865383,0.001008561,0.001751643,0.00176305,0.09458548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02358769,"about_ca_system_score_gemma":0.07747375,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9134458,"about_ca_topic_score_gemma":0.9722708,"domain_scores_codex":[0.9986973,0.00004472792,0.00003013833,0.00007443994,0.000718979,0.0004343947],"domain_scores_gemma":[0.995728,0.0001342469,0.00007398378,0.00009550812,0.002232381,0.001735965],"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":[0.00002489327,0.00001155231,0.0006249441,0.00003364579,0.000002649901,0.00003051211,0.00005593762,0.00002122819,0.00006653751,0.003387457,0.980415,0.01532562],"study_design_scores_gemma":[0.00001570997,0.000009269261,0.002789899,0.00004721395,0.000003544357,0.00002332204,0.0001594601,0.0001025471,0.00006401495,0.000351704,0.9964256,0.000007859858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002247043,0.00109096,0.0002522959,0.03081326,0.001147014,0.0001581207,0.01686831,0.0004463107,0.9469765],"genre_scores_gemma":[0.006918598,0.0005553566,0.0002337422,0.002182722,0.00009571048,0.00003051163,0.002786208,0.0001077739,0.9870895],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3259252,"threshold_uncertainty_score":0.9614859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1143910978007264,"score_gpt":0.3157785946873997,"score_spread":0.2013874968866733,"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."}}