{"id":"W2613140250","doi":"","title":"Indicators for monitoring and assessing the German energy transition","year":2015,"lang":"en","type":"article","venue":"Energy science and technology","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"German; Transition (genetics); Geography; Biology; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002463934,0.000967478,0.0005628054,0.007941118,0.0004597525,0.002035475,0.0003601307,0.0004721192,0.0009664154],"category_scores_gemma":[0.003160576,0.0001592423,0.0003469817,0.005828599,0.0004009161,0.001446041,0.001322929,0.0005552536,0.0003139389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002136546,"about_ca_system_score_gemma":0.001602503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007827705,"about_ca_topic_score_gemma":0.01114694,"domain_scores_codex":[0.9983898,0.0004086976,0.00014972,0.0001789141,0.0006689295,0.00020397],"domain_scores_gemma":[0.9978474,0.0002955813,0.0007252813,0.0001563061,0.0007711836,0.0002042091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001131609,0.0003108436,0.4053817,0.001138036,0.0005011804,0.0002089774,0.0008868889,0.07770164,0.01601336,0.09743246,0.02373637,0.375557],"study_design_scores_gemma":[0.0000937593,0.001270925,0.6342942,0.0006782588,0.000682309,0.0003507376,0.003163184,0.1156984,0.05987583,0.05189457,0.1316793,0.0003185766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7862073,0.00590711,0.1148828,0.001243184,0.0003626256,0.0003947272,0.02404073,0.001192586,0.06576891],"genre_scores_gemma":[0.9709429,0.001078265,0.02091176,0.00004981093,0.00002719187,0.0001364366,0.005067236,0.00005270503,0.001733785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007941118,"threshold_uncertainty_score":0.01556426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008136359301796178,"score_gpt":0.2415861334839516,"score_spread":0.2334497741821555,"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."}}