{"id":"W2604257669","doi":"10.1021/ef4013328","title":"Chemical Composition of Wood Chips and Wood Pellets","year":2013,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Notice; Citation; Social media; Computer science; Information retrieval; Composition (language); World Wide Web; Library science; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001388751,0.0003646,0.0001701459,0.001798363,0.0003524235,0.0005653595,0.0001922556,0.0001529112,0.002229889],"category_scores_gemma":[0.0002075047,0.0001756003,0.0001505266,0.001383592,0.000191615,0.000194393,0.0001331846,0.0001170297,0.0004921411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002688625,"about_ca_system_score_gemma":0.0002535573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007591403,"about_ca_topic_score_gemma":0.01595547,"domain_scores_codex":[0.9997378,0.00001498499,0.0000202176,0.00007416266,0.000114972,0.00003782187],"domain_scores_gemma":[0.9998467,0.00001752102,0.00002242136,0.000009191567,0.00008387407,0.00002027346],"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":[0.0004392813,0.00007739534,0.08370429,0.0002947973,0.00009253898,0.0004316721,0.0001847578,0.0005204402,0.8787408,0.0001976673,0.0002681359,0.03504829],"study_design_scores_gemma":[0.00001265387,0.0002838478,0.7590154,0.0000500363,0.00008456453,0.0006106248,0.0005307946,0.0006595241,0.2295977,0.0001046067,0.009024045,0.00002626],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990393,0.001241897,0.001148534,0.00000921736,0.00001052397,0.00005338907,0.002387074,0.00002187993,0.004734542],"genre_scores_gemma":[0.980531,0.001979819,0.004630154,0.00006747418,0.00001269024,0.0001080507,0.005297635,0.00005983744,0.007313274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007591403,"threshold_uncertainty_score":0.0150944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005283820156485404,"score_gpt":0.1759654446301654,"score_spread":0.17068162447368,"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."}}