{"id":"W7111018930","doi":"10.5281/zenodo.17277506","title":"Potenziale und Risiken der landbasierten CO₂-Entnahme in Deutschland: was wir jetzt wissen – und was zu tun ist","year":2025,"lang":"de","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Theratechnologies (Canada)","funders":"","keywords":"Context (archaeology); Vulnerability (computing); Politics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001679852,0.0004003263,0.0005397858,0.0005749793,0.005040775,0.002370433,0.00230614,0.0003733207,0.01003098],"category_scores_gemma":[0.001784481,0.0004483317,0.0001642266,0.002889453,0.001039006,0.0005939099,0.001556514,0.0006552342,0.007072568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009729652,"about_ca_system_score_gemma":0.00009655744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005263302,"about_ca_topic_score_gemma":0.001083962,"domain_scores_codex":[0.994778,0.001422492,0.0006514164,0.0009757129,0.0009869497,0.001185408],"domain_scores_gemma":[0.9977108,0.0001673986,0.0002739329,0.0006737973,0.0007658777,0.0004081692],"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":[0.0005127602,0.0009888904,0.0008763978,0.000252299,0.001113731,0.0002619168,0.0196346,0.0008769395,0.001607648,0.03205143,0.6790029,0.2628205],"study_design_scores_gemma":[0.001410126,0.0001198713,0.00268147,0.000181876,0.0001651632,0.000004221262,0.006785406,0.0002876525,0.0002649618,0.002062449,0.9855648,0.0004720023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1788439,0.02223958,0.001983467,0.02413367,0.003976169,0.002997653,0.0008145558,0.002089485,0.7629215],"genre_scores_gemma":[0.9596786,0.004947588,0.0002556813,0.0009329201,0.001543491,4.601994e-7,0.001409423,0.001697612,0.02953419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7808347,"threshold_uncertainty_score":0.9997969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02449433921364127,"score_gpt":0.292639918729659,"score_spread":0.2681455795160178,"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."}}