{"id":"W2333411952","doi":"10.1021/ef300884k","title":"Chemical Composition of Wood Chips and Wood Pellets","year":2012,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pellets; Pellet; Inductively coupled plasma mass spectrometry; Inductively coupled plasma; Contamination; Pulp and paper industry; Heat of combustion; Mercury (programming language); Water content; Chemical composition; Environmental chemistry; Environmental science; Chemistry; Combustion; Materials science; Mass spectrometry; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003455514,0.0000993748,0.0001274448,0.00003526576,0.00001344046,0.000005719053,0.00007582796,0.00008472293,0.0001425196],"category_scores_gemma":[0.000007154803,0.00009830584,0.00002910298,0.00008431546,0.00003925877,0.0001023175,0.00003762518,0.0000570891,0.00001148042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001528888,"about_ca_system_score_gemma":0.000003286632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002787129,"about_ca_topic_score_gemma":1.475125e-7,"domain_scores_codex":[0.9995164,0.000008074949,0.0001245732,0.00008403076,0.00009293946,0.0001739895],"domain_scores_gemma":[0.9997181,0.00003995925,0.00002243143,0.0001040393,0.00001643521,0.00009905382],"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":[0.000006592342,0.00002750021,0.00007054592,0.00005762484,0.00002216769,4.277409e-7,0.00009879942,0.000001659866,0.9959038,0.0007839953,0.0002684564,0.002758441],"study_design_scores_gemma":[0.000194292,0.000005796669,0.00008624957,0.00001986456,0.00001244429,0.00000813192,0.00001808626,0.00001169688,0.9976881,0.0001486359,0.001698021,0.0001086724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945193,0.001864171,0.0002383972,0.00003735436,0.0001077932,0.00001785714,0.000004713748,0.0001043339,0.00310611],"genre_scores_gemma":[0.9993031,0.00006963286,0.000436673,0.0000352576,0.00008725724,0.000004099306,0.00001388111,0.0000173891,0.00003271708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004783823,"threshold_uncertainty_score":0.4008796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007155243780872717,"score_gpt":0.1899213380039098,"score_spread":0.1827660942230371,"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."}}