{"id":"W1247737200","doi":"","title":"Treating delimber-debarker chipper residues in Northwestern Ontario.","year":2000,"lang":"en","type":"article","venue":"","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003656036,0.00009342269,0.00007806404,0.00006946086,0.00001845075,0.00002490887,0.00005934342,0.00003319398,0.005620393],"category_scores_gemma":[7.382673e-7,0.00008502281,0.00002306625,0.0001122448,0.000007825083,0.00009345055,0.000009521453,0.00004712155,0.0002505644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007720301,"about_ca_system_score_gemma":0.000005169535,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01623022,"about_ca_topic_score_gemma":0.7786944,"domain_scores_codex":[0.999495,0.000006389806,0.000154103,0.0001058327,0.00007604752,0.0001626484],"domain_scores_gemma":[0.9998227,0.000005897204,0.000004951754,0.0001262004,0.000005725703,0.00003453705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001890576,0.00006330098,0.8686712,0.00004329107,0.00003996369,0.00003248836,0.002885913,0.04195746,0.0001092838,0.0007652928,0.004207992,0.08120491],"study_design_scores_gemma":[0.0006199648,0.00002114932,0.8656393,0.00003813817,0.000007766213,0.000002762682,0.0001757013,0.01349762,0.0004521827,0.0000728278,0.1191988,0.0002737628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6776391,0.00002584653,0.0001305783,0.0000195003,0.00003359145,0.0000677884,3.913133e-7,0.0001699536,0.3219133],"genre_scores_gemma":[0.9671503,0.00003050516,0.0005142044,0.0001277514,0.00001345383,0.0000121273,0.00001266243,0.00001648049,0.03212256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7624642,"threshold_uncertainty_score":0.9952886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007720891678316591,"score_gpt":0.1958389144650133,"score_spread":0.1881180227866967,"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."}}