{"id":"W2264256900","doi":"10.1108/case.darden.2016.000063","title":"C-Energy's Red Hill Plant: Meeting the SO<sub>2</sub> Challenge","year":2017,"lang":"en","type":"article","venue":"Darden Business Publishing Cases","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Purchasing; Sustainability; Investment (military); Scrubber; Economics; Environmental economics; Natural resource economics; Coal; Government (linguistics); Business; Operations management; Waste management; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001637676,0.0003119865,0.0005477972,0.0002406846,0.001987834,0.007265041,0.001415748,0.0002450075,0.0001026865],"category_scores_gemma":[0.003676871,0.0003023788,0.0001620128,0.0001511507,0.0002475001,0.003371242,0.0006614978,0.000308626,0.0001902801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001460168,"about_ca_system_score_gemma":0.00004626294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004341907,"about_ca_topic_score_gemma":0.00294498,"domain_scores_codex":[0.9978411,0.00003283003,0.0007406621,0.0006490327,0.0000755299,0.0006608643],"domain_scores_gemma":[0.9968722,0.0003315095,0.001159613,0.001372938,0.0001244073,0.0001393103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003027845,0.0005709086,0.05219399,0.000639765,0.0006511173,0.0006162239,0.006509904,0.0005239093,0.0003648871,0.6328737,0.2616565,0.04309634],"study_design_scores_gemma":[0.001664141,0.00005569741,0.06136193,0.0003017746,0.00005311092,0.000262761,0.0008435056,0.00456009,0.0006765464,0.05875148,0.8698696,0.001599326],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7597029,0.005072725,0.0001734738,0.0843704,0.003798454,0.0003459322,0.004362661,0.0002677105,0.1419057],"genre_scores_gemma":[0.9938459,0.002585783,0.00003293653,0.001139905,0.001720173,0.00005402973,0.0004089769,0.00007166357,0.0001406794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6082131,"threshold_uncertainty_score":0.9999428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.101315283304264,"score_gpt":0.2398334900382691,"score_spread":0.1385182067340052,"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."}}