{"id":"W2147715127","doi":"10.5539/jsd.v6n6p137","title":"Quantitative Estimation of Biomass Energy and Evaluation of Biomass Utilization - A Case Study of Jilin Province, China","year":2013,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biomass (ecology); Environmental science; Renewable energy; Electricity generation; Environmental pollution; Agriculture; Global warming; Fossil fuel; Thermal power station; Greenhouse gas; Environmental protection; Natural resource economics; Environmental engineering; Waste management; Climate change; Power (physics); Ecology; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0008169634,0.0006339817,0.0003520403,0.002513475,0.0005651906,0.000966717,0.0005139925,0.0004690572,0.0006133427],"category_scores_gemma":[0.001097719,0.0003158308,0.0007450666,0.002869916,0.0004548921,0.0007313375,0.0003545313,0.0001858084,0.00004554348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003593389,"about_ca_system_score_gemma":0.001264495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.207375,"about_ca_topic_score_gemma":0.2023869,"domain_scores_codex":[0.9996846,0.00005990814,0.00001999104,0.00005598135,0.0001073878,0.00007214546],"domain_scores_gemma":[0.9994722,0.0002299745,0.00006217699,0.00003599901,0.0001755072,0.00002411214],"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":[0.0003073636,0.0002613032,0.4106717,0.0005004986,0.0001931658,0.003460021,0.0007601375,0.5051991,0.01885178,0.003458447,0.000837897,0.05549862],"study_design_scores_gemma":[0.0000276374,0.0001947402,0.3538283,0.00003642814,0.0001317303,0.0001972776,0.002034672,0.63387,0.007552041,0.000696058,0.00137847,0.00005260582],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972509,0.0001070691,0.001400805,0.00002316457,0.000001780007,0.00001972509,0.0001977208,0.0000124801,0.000986482],"genre_scores_gemma":[0.9983501,0.00008026191,0.001013778,0.000002193919,8.131681e-7,0.000009926966,0.0002045274,0.000002620819,0.0003357358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.207375,"threshold_uncertainty_score":0.412336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02552489639613906,"score_gpt":0.2938073970818408,"score_spread":0.2682825006857018,"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."}}