{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006910994,0.0003270825,0.0001452614,0.000485435,0.004478518,0.003917214,0.0007779985,0.003825964,0.1583575],"category_scores_gemma":[0.001595823,0.0002313469,0.000286235,0.0005827764,0.0007985595,0.001307892,0.001745151,0.00228832,0.02018881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009885958,"about_ca_system_score_gemma":0.0295983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6174195,"about_ca_topic_score_gemma":0.839215,"domain_scores_codex":[0.9993742,0.00002365789,0.000007182343,0.00003470831,0.0003159392,0.0002443728],"domain_scores_gemma":[0.9993365,0.00003512392,0.00001404108,0.00003322112,0.0003455423,0.0002354806],"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":[0.00004402882,0.00003102912,0.000521391,0.0000435333,0.000002970748,0.0001173706,0.0001522815,0.00008639807,0.0005804822,0.0366086,0.9459906,0.01582139],"study_design_scores_gemma":[0.000006696487,0.000006400969,0.0007671972,0.0000218225,0.000001373469,0.00001462738,0.0003542129,0.00006489069,0.000354242,0.0007515168,0.9976507,0.000006427175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004528161,0.0005881604,0.0004222075,0.02362956,0.001991527,0.0001561831,0.002379766,0.0002574646,0.966047],"genre_scores_gemma":[0.00981761,0.0002278745,0.0002660949,0.002110672,0.0000610005,0.0000184533,0.0003171687,0.00008665909,0.9870945],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3825805,"threshold_uncertainty_score":0.7696671,"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."}}