{"id":"W7011838310","doi":"","title":"Newfoundland wind-to-hydrogen company eyes data centre as international market lags","year":2024,"lang":"en","type":"other","venue":"","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"International market; Government (linguistics); Data collection","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":[0.00098493,0.0008023217,0.0003875105,0.00149883,0.001029008,0.006379839,0.0008871002,0.001126149,0.1431793],"category_scores_gemma":[0.002730621,0.0003565166,0.0003697785,0.002805783,0.0004926902,0.003182741,0.001031821,0.001357914,0.03433169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006002113,"about_ca_system_score_gemma":0.004295403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3842976,"about_ca_topic_score_gemma":0.5028663,"domain_scores_codex":[0.9992119,0.00008275559,0.0000252931,0.0001180179,0.0003964616,0.0001656671],"domain_scores_gemma":[0.9978147,0.0002984725,0.0002359408,0.0002744114,0.001069068,0.0003073227],"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":[0.0001534864,0.00003959636,0.002372354,0.00004781355,0.000008967406,0.00004926874,0.00004577568,0.001892115,0.0002802413,0.01891811,0.9358281,0.04036426],"study_design_scores_gemma":[0.00004757586,0.00002618501,0.009949549,0.0001302831,0.00001638025,0.00004536323,0.000218236,0.006726536,0.001519213,0.003664384,0.9776199,0.00003630463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008792902,0.0009992068,0.002761623,0.007858178,0.001124161,0.00004838705,0.08920351,0.002237268,0.8869748],"genre_scores_gemma":[0.07847088,0.001240013,0.003254632,0.001263674,0.0003404435,0.00006358619,0.05707451,0.002200456,0.8560917],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6157024,"threshold_uncertainty_score":0.7641215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104047468878411,"score_gpt":0.2359318533840208,"score_spread":0.2255271064961797,"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."}}