{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002159455,0.0004432264,0.0004670504,0.001263036,0.00002005439,0.00002953569,0.0002298338,0.0004183835,0.001122851],"category_scores_gemma":[0.0002608064,0.0004031131,0.0001137564,0.001508887,0.00002212725,0.00007451783,0.0001103509,0.00029386,0.004915125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003157832,"about_ca_system_score_gemma":0.00006819926,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008134474,"about_ca_topic_score_gemma":0.01389689,"domain_scores_codex":[0.9978313,0.00003127424,0.0004048692,0.0008764536,0.0003583448,0.0004976912],"domain_scores_gemma":[0.9991369,0.00002050312,0.00008968102,0.0005469272,0.00003683986,0.0001691258],"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":[0.00007622688,0.0001973498,0.000604337,0.0001725487,0.0001741389,0.00002171467,0.0004291923,0.00102797,0.1826949,0.0001796772,0.8099704,0.004451524],"study_design_scores_gemma":[0.0003352966,0.0001548804,0.0003988953,0.00142621,0.00006497259,0.00002571679,0.0002433592,0.0001674482,0.3938144,0.00001661785,0.6018029,0.001549243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5509947,0.0008717804,0.001277052,0.00481571,0.009810564,0.01130284,0.0001652842,0.009437491,0.4113246],"genre_scores_gemma":[0.05180004,0.00004238637,0.00668587,0.000218097,0.00170574,0.0002278417,0.00004077216,0.002982678,0.9362966],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.524972,"threshold_uncertainty_score":0.999842,"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."}}