{"id":"W7061707555","doi":"","title":"Samsung Reduces Ontario Renewable-Energy Pledge by $1.9 Billion","year":2013,"lang":"en","type":"other","venue":"","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pledge; Government (linguistics); Payment; Work (physics); Legislation","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001816533,0.0003585288,0.0002837848,0.0002721465,0.00002700177,0.00004950921,0.0002895579,0.0005443897,0.01205192],"category_scores_gemma":[0.000007168474,0.0003212685,0.00005075762,0.0001380936,0.00004253494,0.00008892051,0.00005633118,0.0001825299,0.0002935839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000218146,"about_ca_system_score_gemma":0.0000290687,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04583541,"about_ca_topic_score_gemma":0.1327714,"domain_scores_codex":[0.9990642,0.000007002678,0.0002107083,0.0003001015,0.0001322498,0.0002857526],"domain_scores_gemma":[0.9994034,0.00001185155,0.00006013884,0.0004562165,0.00001573536,0.00005270134],"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":[3.347098e-7,0.000004443626,0.00000567662,0.0000142792,0.00004610408,7.706041e-7,0.00001348663,0.00261425,0.002866024,0.0002943663,0.990603,0.003537283],"study_design_scores_gemma":[0.00008449212,0.00001258505,9.037376e-7,0.00004083903,0.000007903683,0.000001276199,0.00001843332,0.0005869641,0.05810409,0.0001846405,0.940571,0.0003868373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002896603,0.004632663,0.07716826,0.00003038412,0.0009805658,0.0001393779,0.00001873005,0.004996364,0.9120047],"genre_scores_gemma":[0.0004021182,0.001176459,0.01061821,0.00004048434,0.0001490749,0.00009413113,0.0001737286,0.0005496484,0.9867961],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08693597,"threshold_uncertainty_score":0.9999239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006123843008567536,"score_gpt":0.1812553723424014,"score_spread":0.1751315293338338,"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."}}