{"id":"W7056771815","doi":"","title":"Healthcare of Ontario Pension Plan Trust Fund Boosts Holdings in Algonquin Power & Utilities Corp. (NYSE:AQN)","year":2024,"lang":"en","type":"other","venue":"","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Plan (archaeology); Power (physics); Pension; Pension plan; Health care; Work (physics)","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":[0.0007378532,0.0004421544,0.0002246975,0.0008804968,0.003032315,0.002252819,0.0005227809,0.001911705,0.3235188],"category_scores_gemma":[0.002162442,0.0003463175,0.0003856031,0.0005573223,0.0007150345,0.0006643087,0.001201886,0.00115921,0.08467445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01015647,"about_ca_system_score_gemma":0.02506733,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5110294,"about_ca_topic_score_gemma":0.8322949,"domain_scores_codex":[0.9990849,0.00002574932,0.00001474493,0.00004762121,0.0006087834,0.0002180142],"domain_scores_gemma":[0.9971572,0.0001107068,0.00006019614,0.00007278122,0.001430858,0.001168266],"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":[0.00003886407,0.00001790092,0.0007752656,0.00002330487,0.000001648699,0.00005207466,0.00004009618,0.00003372887,0.0002385558,0.001827752,0.9773951,0.01955573],"study_design_scores_gemma":[0.00002119981,0.0000223008,0.003127913,0.0000309917,0.000002485227,0.00004252809,0.0001102736,0.0001371542,0.000237853,0.000207048,0.9960549,0.000005300346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004055423,0.0006699568,0.0004637708,0.03050357,0.00154815,0.0001776375,0.007146798,0.0007675022,0.9546671],"genre_scores_gemma":[0.006856694,0.000246269,0.0002782775,0.001458135,0.0001328775,0.00001751031,0.0008730815,0.00009713537,0.99004],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5110294,"threshold_uncertainty_score":0.9837005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04087400876293991,"score_gpt":0.2691776499577827,"score_spread":0.2283036411948428,"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."}}