{"id":"W4220747429","doi":"10.5194/egusphere-egu22-8836","title":"Temporary nature-based carbon removal can lower peak warming in a well-below 2&amp;#176;C scenario","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Concordia University","funders":"","keywords":"Span (engineering); Carbon dioxide; Greenhouse gas; Climate change; Carbon fibers; Environmental science; Atmosphere (unit); Global warming; Chemistry; Animal science; Atmospheric sciences; Meteorology; Ecology; Biology; Physics; Mathematics; Engineering","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":[0.0003063634,0.0004504944,0.0002034815,0.0001997166,0.0004134363,0.0009013312,0.0004567158,0.0008467783,0.00564893],"category_scores_gemma":[0.0007488047,0.0001109867,0.000646919,0.0002849482,0.000501391,0.0009428095,0.0005742235,0.0007381826,0.0007041285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006292699,"about_ca_system_score_gemma":0.0005623145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009962652,"about_ca_topic_score_gemma":0.0119494,"domain_scores_codex":[0.999886,0.00002117694,0.000002870928,0.00002815991,0.00001510587,0.00004657041],"domain_scores_gemma":[0.9997919,0.00006669977,0.00003397587,0.00002710058,0.00002994073,0.0000504577],"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":[0.001387654,0.0003052492,0.03884005,0.0003637598,0.0003128947,0.001064539,0.0001895408,0.8153653,0.04029726,0.05172676,0.02245265,0.02769435],"study_design_scores_gemma":[0.0003025185,0.001164014,0.1445647,0.0001075492,0.0003449533,0.0004152784,0.001288767,0.7305995,0.03457312,0.04031448,0.04605612,0.0002689603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9095715,0.0006288552,0.01281896,0.001857601,0.0004203051,0.00004152669,0.004491914,0.0007169236,0.06945252],"genre_scores_gemma":[0.9973711,0.00008280781,0.0008392768,0.0001007636,0.00001528512,0.00001447381,0.0004557222,0.00005008662,0.001070452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009962652,"threshold_uncertainty_score":0.01980931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142586402431586,"score_gpt":0.22624504402707,"score_spread":0.2148191800027542,"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."}}