{"id":"W4400457667","doi":"10.3389/978-2-8325-5156-1","title":"Carbon dioxide removal: Perspectives from the social sciences and humanities","year":2024,"lang":"en","type":"book","venue":"Frontiers research topics","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Environment Research Council; Engineering and Physical Sciences Research Council; Leibniz-Gemeinschaft; Energimyndigheten; Linköpings Universitet; Bundesministerium für Bildung und Forschung; Svenska Forskningsrådet Formas; Marcus och Amalia Wallenbergs minnesfond; European Commission; Leverhulme Trust; Vetenskapsrådet; Government of Canada; Austrian Science Fund; Alfred P. Sloan Foundation; ClimateWorks Foundation; Environmental Restoration and Conservation Agency","keywords":"Carbon dioxide; Humanities; Sociology; Art; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005777771,0.0003039834,0.0003791986,0.000398687,0.0002300264,0.0003625737,0.0008208031,0.0004764484,0.0000145384],"category_scores_gemma":[0.0002137603,0.0002363294,0.0001152411,0.0002457375,0.002632647,0.00007588445,0.0004751025,0.002019492,0.00000880211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007245643,"about_ca_system_score_gemma":0.0002211011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001512468,"about_ca_topic_score_gemma":0.0001598571,"domain_scores_codex":[0.9978603,0.00008072048,0.0002028404,0.0004891704,0.0008336166,0.0005333447],"domain_scores_gemma":[0.9993588,0.00009445167,0.00002579342,0.0003823106,0.0001061653,0.00003245417],"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":[0.000003922833,0.000002550922,0.00001466357,0.0001078385,0.000212308,0.00008509881,0.005863074,0.000008335675,0.00007105844,0.03128167,0.9587534,0.003596077],"study_design_scores_gemma":[0.00006059227,0.00002880673,0.00007141774,0.000133797,0.0000409651,0.000003910516,0.01370327,0.0004642578,0.00009944246,0.0853479,0.8997684,0.000277206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004188491,0.2486794,0.0000258743,0.007941985,0.001633047,0.0005388067,0.0001421034,0.001258677,0.7355917],"genre_scores_gemma":[0.001711713,0.006428855,0.0008522,0.0000427765,0.003443663,0.00007261939,0.00002250527,0.0001462335,0.9872794],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2516878,"threshold_uncertainty_score":0.9700098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06185418820534226,"score_gpt":0.3113947372274824,"score_spread":0.2495405490221401,"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."}}