{"id":"W1872703860","doi":"10.1002/wcc.261","title":"Rethinking climate engineering categorization in the context of climate change mitigation and adaptation","year":2013,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Climate Change","topic":"Climate Change and Geoengineering","field":"Environmental Science","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Environment Research Council; Engineering and Physical Sciences Research Council; Eidgenössische Technische Hochschule Zürich; Brandenburger Staatsministerium für Wissenschaft, Forschung und Kultur; Bundesministerium für Bildung und Forschung; Agence Nationale de la Recherche","keywords":"Climate change; Greenhouse gas; Adaptation (eye); Climate change mitigation; Environmental resource management; Categorization; Context (archaeology); Environmental planning; Environmental science; Geography; Computer science; Ecology; Psychology","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":[0.04285559,0.0012074,0.001813938,0.008471077,0.00904636,0.01974492,0.007015801,0.008588461,0.003865368],"category_scores_gemma":[0.03625763,0.0007176443,0.001506553,0.006549288,0.06159906,0.03437684,0.0109022,0.02071134,0.0008630127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01355601,"about_ca_system_score_gemma":0.008800359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01251484,"about_ca_topic_score_gemma":0.01520692,"domain_scores_codex":[0.9686694,0.02091402,0.001959095,0.002662416,0.003892445,0.001902626],"domain_scores_gemma":[0.9678702,0.01795436,0.002108071,0.002930191,0.007396873,0.001740336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001118769,0.00001195103,0.0003265402,0.0001209923,0.000007719574,0.00006393612,0.02228239,0.0003888146,0.0002018016,0.9630408,0.004583624,0.008960357],"study_design_scores_gemma":[0.000009587402,0.00001736869,0.001609651,0.0006645084,0.00001359944,0.0001303243,0.03500977,0.001976137,0.0002148984,0.8117972,0.1484833,0.00007362405],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.05101054,0.02743732,0.2334944,0.4755566,0.01789931,0.0003034556,0.0003541565,0.0002762243,0.193668],"genre_scores_gemma":[0.8276526,0.008670714,0.1137767,0.03243112,0.005733331,0.0006767773,0.0004114631,0.0005220247,0.01012506],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.04285559,"threshold_uncertainty_score":0.2266448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0606050479021664,"score_gpt":0.2757984200583548,"score_spread":0.2151933721561884,"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."}}