{"id":"W7025389672","doi":"","title":"Wind-Coupled Hydrogen Integration for Commercial Greenhouse Food and Power Production: A Case Study","year":2024,"lang":"en","type":"dissertation","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Power (physics); Work (physics); Term (time); Scope (computer science); Context (archaeology)","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":[0.000625302,0.0005892661,0.0003485621,0.0005269932,0.001044162,0.001076926,0.0008736844,0.001069062,0.00165219],"category_scores_gemma":[0.0006077205,0.0002832372,0.0005456471,0.0009236478,0.0005788129,0.0007106673,0.0004959799,0.0005112591,0.0001360907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003912151,"about_ca_system_score_gemma":0.002007296,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1399536,"about_ca_topic_score_gemma":0.191328,"domain_scores_codex":[0.9996439,0.00009843738,0.00001195417,0.00004271077,0.0001049142,0.00009813134],"domain_scores_gemma":[0.9996616,0.0001643044,0.00002814999,0.00002254879,0.00007386014,0.00004961489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000910889,0.0008695229,0.02726215,0.0003927519,0.0001471412,0.00979049,0.0003791035,0.9062815,0.01190182,0.01101673,0.002495492,0.02855233],"study_design_scores_gemma":[0.0003452818,0.001250501,0.02459578,0.00006116339,0.0001540182,0.0007561647,0.0034023,0.9408492,0.01580803,0.002920427,0.009764776,0.00009221676],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795151,0.0002405748,0.005434932,0.0001644586,0.00002046075,0.0002388274,0.0003740957,0.00004815824,0.01396351],"genre_scores_gemma":[0.9946068,0.0001983049,0.002670369,0.00001079086,0.000004228418,0.00003910903,0.0001281799,0.00000669519,0.002335527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8600464,"threshold_uncertainty_score":0.278278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02224959031731863,"score_gpt":0.2464132581517767,"score_spread":0.224163667834458,"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."}}