{"id":"W3009672223","doi":"10.20546/ijcmas.2020.901.044","title":"Growth Performance, Productivity and Carbon Sequestration of Wheat (Triticum assstivum)- Shisham (Dalbergia sissoo) based Agri-silviculture System with Especial Reference to Tree Pruning Intensities and Agronomic Practices","year":2020,"lang":"en","type":"article","venue":"International Journal of Current Microbiology and Applied Sciences","topic":"Forest ecology and management","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Terry Fox Research Institute","keywords":"Pruning; Fertilizer; Canopy; Mathematics; Crop; Dalbergia sissoo; Agronomy; Carbon sequestration; Sowing; Horticulture; Biology; Botany; Carbon dioxide","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001376411,0.0002675864,0.0002306866,0.0002194257,0.0002763525,0.0002524605,0.0001637457,0.0001538502,0.0007974975],"category_scores_gemma":[0.00009290119,0.0001113672,0.0001920373,0.0002440293,0.0001361435,0.0001530638,0.0001989208,0.0002881764,0.0002229367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003750533,"about_ca_system_score_gemma":0.0002481125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004125107,"about_ca_topic_score_gemma":0.01295666,"domain_scores_codex":[0.9999281,0.000009760527,0.000005454958,0.00002571664,0.00001586151,0.00001511201],"domain_scores_gemma":[0.9998233,0.0000192642,0.00004536507,0.00001204246,0.00002815884,0.0000719536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002044311,0.003995714,0.1270242,0.0002717281,0.0001332366,0.000711862,0.0009683501,0.0009806467,0.84829,0.0001750078,0.0005440252,0.01486079],"study_design_scores_gemma":[0.00005689552,0.01113703,0.9623126,0.00001560456,0.00007115678,0.0002383528,0.0005417333,0.0009529592,0.02305157,0.00007953276,0.001522216,0.00002038396],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995253,0.00004512462,0.00004243345,0.00001133347,0.00000367807,0.00000561385,0.0001346487,0.000003202448,0.0002286095],"genre_scores_gemma":[0.9968546,0.0001327413,0.0003246976,0.00004155475,0.000003871581,0.00002210234,0.0005580132,0.000002591304,0.002059726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004125107,"threshold_uncertainty_score":0.008202195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01988833422662139,"score_gpt":0.2385544927748967,"score_spread":0.2186661585482753,"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."}}