{"id":"W7066389614","doi":"","title":"Hydrogen: Mabanaft and Pattern Energy Sign LOI for Green Ammonia Supply in Presence of German and Canadian Ministers","year":2024,"lang":"en","type":"other","venue":"","topic":"Art, Technology, and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"German; Sign (mathematics); Energy (signal processing); Energy policy; Energy supply","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002855974,0.0001753557,0.0002295286,0.0002334332,0.00003620099,0.00003830044,0.0001143405,0.0001972362,0.00111723],"category_scores_gemma":[0.000001804462,0.0001402822,0.00003373425,0.00001204161,0.0002881828,0.00002843553,0.0000365378,0.0000832977,0.000005941617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000136888,"about_ca_system_score_gemma":0.00003201611,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.566158,"about_ca_topic_score_gemma":0.9932869,"domain_scores_codex":[0.9993405,0.000009109224,0.0001361124,0.0002555129,0.00005311405,0.0002056477],"domain_scores_gemma":[0.9997207,0.00001173689,0.00004692299,0.0001392843,0.00001176491,0.00006961464],"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":[0.000004416232,0.00001163984,0.0002213747,0.0003565973,0.0001070077,0.00003669467,0.007768467,2.565764e-8,0.00001010899,0.04038089,0.9405657,0.01053706],"study_design_scores_gemma":[0.0001354138,0.00006008899,0.00001749316,0.0001344864,0.00003443592,0.000004479607,0.001558408,0.00002107729,0.00002376676,0.001457373,0.9963722,0.0001807462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002556784,0.007602216,0.000008654298,0.002085317,0.0002111386,0.0004957767,0.001822288,0.0001285042,0.9850893],"genre_scores_gemma":[0.1534755,0.000153243,0.00001649833,0.0003158748,0.0001441738,0.00003712116,0.00004916763,0.0001038558,0.8457046],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4271289,"threshold_uncertainty_score":0.9997959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01263565973458767,"score_gpt":0.215431779400843,"score_spread":0.2027961196662553,"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."}}