{"id":"W3185030199","doi":"10.3390/en14144281","title":"Crop Residue Management in India: Stubble Burning vs. Other Utilizations including Bioenergy","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; Western University","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Crop residue; Environmental science; Bioenergy; Agriculture; Crop; Biofuel; Agroforestry; Greenhouse gas; Manure; Waste management; Agronomy; Engineering; Geography; Forestry; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001537652,0.0001491702,0.0001333514,0.00007589468,0.0001867432,0.00004738973,0.0001762754,0.00006904297,0.002807766],"category_scores_gemma":[0.0000242931,0.0001481037,0.0000371207,0.0004747948,0.0001016616,0.0002567361,0.0004725163,0.0000975635,0.0001608248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001670685,"about_ca_system_score_gemma":0.000007459512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004437642,"about_ca_topic_score_gemma":0.0006922478,"domain_scores_codex":[0.9988005,0.00007844046,0.0001992266,0.0003234962,0.0002532314,0.0003451574],"domain_scores_gemma":[0.9995549,0.00003327529,0.0000498395,0.0002889666,0.000002260685,0.00007070668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000009866154,0.0001120587,0.05654632,0.000008071656,0.00002703183,0.0001566586,0.0006038665,0.9253961,0.005075023,0.007838799,0.001596588,0.002629643],"study_design_scores_gemma":[0.0008181813,0.00004331825,0.7560464,0.00009087983,0.00002835451,0.00001387402,0.001435603,0.0008000979,0.06662279,0.00217367,0.1713744,0.0005524943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8575119,0.00022681,0.0001678017,0.0002597945,0.0001076057,0.00004099998,0.00000194476,0.00004987273,0.1416333],"genre_scores_gemma":[0.9849463,0.0004713751,0.002251888,0.0006726853,0.00003269092,0.00002323685,0.00001541755,0.00002373139,0.01156268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.924596,"threshold_uncertainty_score":0.9981038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848488015345197,"score_gpt":0.2493669681914785,"score_spread":0.2308820880380265,"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."}}