{"id":"W7067780488","doi":"","title":"Monaco’s Prince Albert hails UAE green energy ambitions","year":2017,"lang":"en","type":"other","venue":"","topic":"Infections and bacterial resistance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Renewable energy; Energy (signal processing); Sustainability; Green economy; Field (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003260602,0.0002165794,0.0001754093,0.00005324866,0.0001217584,0.00004720847,0.0002487582,0.0004017166,0.001206642],"category_scores_gemma":[0.00002086885,0.0001952235,0.0001218987,0.00002216748,0.000093893,0.000001699086,0.0001133527,0.00006012686,0.00006719909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001249832,"about_ca_system_score_gemma":0.00008279599,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005028979,"about_ca_topic_score_gemma":0.02528831,"domain_scores_codex":[0.9992107,0.00002157683,0.0001056325,0.0003709512,0.00007932189,0.0002118285],"domain_scores_gemma":[0.9990067,0.000002801026,0.000142266,0.0007411435,0.00003984772,0.00006723133],"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":[0.00001124201,0.00003692553,0.00001924163,0.00001732577,0.00008509613,0.000003538492,6.901624e-7,1.823292e-7,0.05726958,0.001246938,0.9380308,0.003278492],"study_design_scores_gemma":[0.0001524072,0.0000485898,0.0001204584,0.00005166549,0.00001780684,0.000006654995,6.448738e-7,7.684463e-7,0.0101313,0.0000429887,0.9891667,0.0002599733],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001157846,0.0005722831,0.0025511,0.0001434136,0.0004270987,0.00009963165,0.000118461,0.00004342393,0.9959288],"genre_scores_gemma":[0.002365157,0.001170705,0.0003873974,0.0002745993,0.001222675,0.00004687712,0.0004026227,0.0001710125,0.993959],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05113599,"threshold_uncertainty_score":0.9997064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005233238105828348,"score_gpt":0.2307302714124439,"score_spread":0.2254970333066156,"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."}}