{"id":"W7019882364","doi":"","title":"Hydrogen Developer EverWind Shortlisted for Newfoundland &amp;amp; Labrador’s Green Energy Initiative","year":2023,"lang":"en","type":"other","venue":"","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Renewable energy; Energy (signal processing); Hydrogen; Energy consumption; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009667599,0.0009290754,0.0004672267,0.001089163,0.003017954,0.004511771,0.0007759904,0.002994917,0.399876],"category_scores_gemma":[0.001759135,0.0004571586,0.0005168757,0.0006125636,0.0006855021,0.002266814,0.00154243,0.003014837,0.2118906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003764923,"about_ca_system_score_gemma":0.01051638,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08566094,"about_ca_topic_score_gemma":0.2580795,"domain_scores_codex":[0.9992489,0.00003290619,0.00001042894,0.00006557471,0.0004579781,0.000184079],"domain_scores_gemma":[0.9983845,0.0001067759,0.00004292474,0.0001110967,0.0007573279,0.000597432],"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":[0.00001878369,0.00001973238,0.00006301571,0.0000127631,0.000001079104,0.00002033378,0.000008962691,0.00002961381,0.0001485456,0.002861436,0.9820868,0.01472898],"study_design_scores_gemma":[0.000008201621,0.00001243403,0.0001952188,0.00001431498,0.000001227075,0.000009476079,0.0000227646,0.0000850439,0.0001422447,0.0003777352,0.9991279,0.000003464879],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00113246,0.0008769388,0.001134642,0.009683482,0.00376474,0.0001309487,0.004321485,0.001378702,0.9775766],"genre_scores_gemma":[0.0008652393,0.0001215934,0.0001366047,0.0007354222,0.00008393384,0.00001464338,0.0005697065,0.0001802938,0.9972926],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9143391,"threshold_uncertainty_score":0.856004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04762189604685179,"score_gpt":0.2734344227257335,"score_spread":0.2258125266788817,"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."}}