{"id":"W2296889524","doi":"10.14288/1.0042676","title":"Environmental, social, and economic benefits of biochar application for land reclamation purposes","year":2014,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Climate Change and Environmental Impact","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Land reclamation; Biochar; Natural resource economics; Environmental science; Business; Environmental planning; Environmental protection; Waste management; Environmental resource management; Economics; Geography; Engineering; Pyrolysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001042493,0.00003188637,0.0001305353,0.00001132986,0.0001404067,0.00001507206,0.00009528919,0.00005752955,0.0002788779],"category_scores_gemma":[0.000002766812,0.00009732024,0.00004347084,0.00002637792,0.0002398581,0.0002035379,0.00009184421,0.00002234865,0.00003513825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008588937,"about_ca_system_score_gemma":0.000001664689,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02595968,"about_ca_topic_score_gemma":0.04970801,"domain_scores_codex":[0.9995183,0.00001414058,0.00008272795,0.0002014644,0.00007450314,0.000108857],"domain_scores_gemma":[0.9997159,0.00002270485,0.0001190898,0.00009547607,0.000001467289,0.00004532786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001226316,0.00008409542,0.2083746,0.00003852873,0.00001223083,2.14317e-7,0.0002666854,0.00008563307,0.02137972,0.000001495692,0.00098121,0.7687633],"study_design_scores_gemma":[0.0004991398,0.00008365476,0.9976761,0.00001314593,0.0000236233,0.000004282603,0.0003259776,0.0004924457,0.00009789466,0.00014585,0.0005408187,0.00009703236],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987345,0.00005017407,0.0002452099,0.00005677995,0.00001636447,0.0002474881,0.0003345638,0.000009340106,0.0003055393],"genre_scores_gemma":[0.9993344,0.0003305908,0.0001687403,0.00001936931,0.00001541219,0.00000157682,0.00006083225,0.000007773833,0.00006128832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7893015,"threshold_uncertainty_score":0.9805266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376987819280782,"score_gpt":0.1815814458220357,"score_spread":0.1678115676292279,"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."}}