{"id":"W4413536181","doi":"10.1111/gcbb.70075","title":"Scenario Storylines for Carbon Dioxide Removal in Germany: Drawing From Regional Perspectives","year":2025,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Bundesministerium für Bildung und Forschung","keywords":"Carbon dioxide; Environmental science; Carbon dioxide removal; Climate change; Bio-energy with carbon capture and storage; Natural resource economics; Carbon sequestration; Economics; Chemistry; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003366888,0.001030499,0.0002461406,0.002925979,0.001564024,0.003573482,0.0009493998,0.00168319,0.00568287],"category_scores_gemma":[0.005977683,0.0003423289,0.0007129208,0.003976385,0.001585848,0.004668585,0.001983002,0.001222259,0.0004754936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009221116,"about_ca_system_score_gemma":0.00124223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01914902,"about_ca_topic_score_gemma":0.03241185,"domain_scores_codex":[0.9975334,0.001764913,0.00008038669,0.0001321389,0.0002044437,0.000284719],"domain_scores_gemma":[0.996435,0.00273037,0.0002946882,0.0001184539,0.0002778875,0.0001435474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000914748,0.0003930148,0.03496961,0.002663083,0.0003558735,0.0193275,0.3055035,0.1485227,0.006852218,0.3536781,0.04269436,0.08412522],"study_design_scores_gemma":[0.00007748345,0.0003605047,0.03303575,0.002107339,0.000209436,0.001680551,0.507198,0.05209977,0.004826212,0.0480133,0.3500997,0.0002919093],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8787425,0.001768698,0.01655824,0.008923738,0.0001570235,0.0006133651,0.008455967,0.0001356997,0.08464475],"genre_scores_gemma":[0.9854608,0.001359911,0.007924586,0.000211358,0.00001859887,0.0003345401,0.0019753,0.00004793403,0.002666933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01914902,"threshold_uncertainty_score":0.06690425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06502482436682444,"score_gpt":0.2647705472769468,"score_spread":0.1997457229101224,"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."}}