{"id":"W6981537687","doi":"","title":"Energy trends for Europe in a global perspective. Baseline projections by twelve E3-models in the CASCADE MINTS project:","year":2004,"lang":"en","type":"report","venue":"TNO Repository","topic":"Photography and Visual Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Joint Research Centre; National Technical University of Athens; Natural Resources Canada; International Institute for Applied Systems Analysis; Paul Scherrer Institut; U.S. Department of Energy","keywords":"Baseline (sea); Variety (cybernetics); Energy (signal processing); Population; Energy policy; Range (aeronautics); Fossil fuel; Greenhouse gas; Projection (relational algebra)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004906359,0.0008410448,0.0002380712,0.001070301,0.0003723391,0.00175528,0.0005260861,0.0009023942,0.006135195],"category_scores_gemma":[0.0008972291,0.0002621538,0.0009948204,0.002875648,0.0001439868,0.001764805,0.0005544249,0.0005898572,0.00104861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002242751,"about_ca_system_score_gemma":0.001845348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0860884,"about_ca_topic_score_gemma":0.07051033,"domain_scores_codex":[0.9998208,0.00003790199,0.00001235304,0.00003217603,0.00007028299,0.0000264774],"domain_scores_gemma":[0.9998659,0.0000177795,0.00001932982,0.00001598039,0.00006680287,0.00001426243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007565012,0.0002268908,0.03176867,0.0008039569,0.0001679784,0.001005572,0.0005936312,0.577875,0.001785506,0.1098546,0.1412199,0.1339418],"study_design_scores_gemma":[0.0003039359,0.0004962249,0.08423828,0.0009693584,0.0002467906,0.0007989504,0.002200586,0.2362328,0.006448376,0.06001995,0.6078783,0.000166405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3382515,0.006583,0.03575252,0.006219625,0.0005055413,0.0004596444,0.1770711,0.001665835,0.4334912],"genre_scores_gemma":[0.8068462,0.01044691,0.03564485,0.0003866626,0.00009149305,0.0007224446,0.09887524,0.0005041374,0.04648209],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0860884,"threshold_uncertainty_score":0.1711746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06792493748238981,"score_gpt":0.3311123992583914,"score_spread":0.2631874617760016,"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."}}