{"id":"W4392585486","doi":"10.5194/egusphere-egu24-4893","title":"Projected decline of CO2 fertilization effects on vegetation carbon sequestration in India","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Carbon sequestration; Human fertilization; Vegetation (pathology); Environmental science; Carbon fibers; Agroforestry; Forestry; Natural resource economics; Geography; Carbon dioxide; Economics; Agronomy; Ecology; Biology; Mathematics; Medicine","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":[0.0003834773,0.0005343797,0.0002346015,0.0002596891,0.0003160483,0.0007179815,0.0005252012,0.0004848426,0.001341893],"category_scores_gemma":[0.0005723349,0.0001855418,0.0005844446,0.0004605379,0.000266009,0.0004650827,0.0003516439,0.0004039996,0.0002266536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00169687,"about_ca_system_score_gemma":0.001243693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0906113,"about_ca_topic_score_gemma":0.06039118,"domain_scores_codex":[0.9998723,0.00003092748,0.000007969026,0.00002177087,0.00001828981,0.00004877107],"domain_scores_gemma":[0.9998025,0.00006103462,0.00002010914,0.00001185981,0.00007191383,0.0000325391],"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":[0.0007176664,0.0001179366,0.2230927,0.0002895394,0.0002324507,0.001329609,0.0002017866,0.7236793,0.02003895,0.005967192,0.006243528,0.01808931],"study_design_scores_gemma":[0.0001552081,0.0002406636,0.3690457,0.00006338315,0.0003828981,0.000342492,0.0009203414,0.6010265,0.01387145,0.003833561,0.009986002,0.0001318177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895103,0.0003304812,0.001001336,0.0008677294,0.00004282477,0.000007565663,0.001969414,0.0001941249,0.006076214],"genre_scores_gemma":[0.998223,0.0001728789,0.0003901196,0.00009826568,0.000004523744,0.00000893128,0.0006629478,0.00001368019,0.0004256497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0906113,"threshold_uncertainty_score":0.1801678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007902107235543758,"score_gpt":0.24612890390346,"score_spread":0.2382267966679162,"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."}}