{"id":"W7037587868","doi":"","title":"Essays in Environmental and Energy Economics","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Efficient energy use; Estimation; Stock (firearms); Deception; Energy intensity","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":[0.001093953,0.0009066996,0.0007423529,0.001931016,0.002001317,0.003149617,0.0007162509,0.001889865,0.02272057],"category_scores_gemma":[0.00335544,0.0003080154,0.0007387635,0.00286088,0.0036527,0.002441797,0.0009456483,0.003028142,0.004789582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006628724,"about_ca_system_score_gemma":0.004506495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02231091,"about_ca_topic_score_gemma":0.02649141,"domain_scores_codex":[0.9992827,0.0001621513,0.00003670529,0.00009462009,0.0003357588,0.00008814903],"domain_scores_gemma":[0.9981743,0.001079924,0.00009731414,0.0001124632,0.0003965494,0.0001394051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002509012,0.0000503355,0.0008458597,0.0004495786,0.00002589111,0.00009376105,0.0006909779,0.0009749444,0.0001666196,0.3606932,0.5849863,0.05099745],"study_design_scores_gemma":[0.000004227105,0.000008522871,0.00115524,0.0003901651,0.000004536173,0.00004170762,0.000298354,0.0002016998,0.00004268883,0.05554838,0.9422986,0.000005851888],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003980702,0.3669962,0.00418104,0.1718859,0.02238555,0.00004101223,0.0007362273,0.00009535356,0.429698],"genre_scores_gemma":[0.1051298,0.3117353,0.002590071,0.0271508,0.03518201,0.0001013001,0.0007436837,0.0002252035,0.5171418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02272057,"threshold_uncertainty_score":0.0760079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01263841210724181,"score_gpt":0.2957573094995254,"score_spread":0.2831188973922836,"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."}}