{"id":"W7018862541","doi":"","title":"EverWind to Invest $1 Billion in Hydrogen, Ammonia Production to Power Nova Scotia Project","year":2023,"lang":"en","type":"other","venue":"","topic":"Ammonia Synthesis and Nitrogen Reduction","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nova scotia; Production (economics); Power (physics); Ammonia; 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":[],"consensus_categories":[],"category_scores_codex":[0.0005132921,0.0005814834,0.0001651835,0.0006128104,0.001770328,0.001877931,0.0004487479,0.001674323,0.1196392],"category_scores_gemma":[0.0009581388,0.0002497513,0.0003786929,0.0002437782,0.0004305634,0.0005022343,0.001183326,0.001480266,0.02379672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006683449,"about_ca_system_score_gemma":0.0204986,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5585137,"about_ca_topic_score_gemma":0.8170992,"domain_scores_codex":[0.9995851,0.00001987835,0.000004794028,0.00002729848,0.0001800848,0.0001829081],"domain_scores_gemma":[0.9991541,0.0000364803,0.00001863946,0.00003606795,0.0003549782,0.000399806],"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":[0.0002696464,0.00008313488,0.001490627,0.00007872711,0.00001307577,0.0003016938,0.00004879884,0.0004313645,0.001923956,0.009111675,0.9458542,0.04039299],"study_design_scores_gemma":[0.00007031287,0.00006250834,0.005557686,0.00008146369,0.000007564011,0.00007434385,0.000170211,0.0005736075,0.0007880392,0.000995449,0.9916084,0.00001039697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01808517,0.001442934,0.001068474,0.01598043,0.003866557,0.0003356304,0.00927214,0.0006254606,0.9493232],"genre_scores_gemma":[0.01695986,0.0003122643,0.0005067008,0.001346632,0.00004719258,0.00003081415,0.001202506,0.00007191235,0.979522],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4414863,"threshold_uncertainty_score":0.8881726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0235554206222833,"score_gpt":0.2620943179888737,"score_spread":0.2385388973665904,"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."}}