{"id":"W3032674599","doi":"","title":"Feasibility assessment: Wood pellet raw material from Canadian British Columbia","year":2009,"lang":"en","type":"article","venue":"Jukuri (Natural Resources Institute Finland (Luke))","topic":"Metallurgy and Cultural Artifacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pellet; Raw material; Environmental science; Pulp and paper industry; Waste management; Forestry; Engineering; Geography; Materials science; Composite material; Chemistry","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":[0.00266959,0.001014365,0.0005433019,0.003235982,0.008602818,0.00220231,0.001908435,0.001745914,0.006962711],"category_scores_gemma":[0.003574139,0.0005675617,0.0004878067,0.003758442,0.001339821,0.0009043804,0.001299511,0.0008137922,0.001197929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01839589,"about_ca_system_score_gemma":0.04171383,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9384977,"about_ca_topic_score_gemma":0.9795544,"domain_scores_codex":[0.9972662,0.0003184623,0.0001342595,0.0004340018,0.001323624,0.0005234532],"domain_scores_gemma":[0.996309,0.0003687069,0.0001574272,0.0001762475,0.002731875,0.0002567142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007409672,0.005601869,0.4594953,0.003666403,0.0003083188,0.01226175,0.01989512,0.007624225,0.1746927,0.002527635,0.01391128,0.2926058],"study_design_scores_gemma":[0.0004914291,0.004945703,0.7549562,0.0009722366,0.0006735562,0.001451556,0.08017886,0.005606402,0.05870998,0.0007995495,0.09099312,0.000221334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708845,0.0005196559,0.001868302,0.0005220224,0.00003714891,0.002500636,0.002811979,0.00003918749,0.02081661],"genre_scores_gemma":[0.9613118,0.001443763,0.01447992,0.0006195881,0.00002838744,0.001245794,0.003118438,0.00004785918,0.01770439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06150228,"threshold_uncertainty_score":0.1334721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627404648082326,"score_gpt":0.2748864735546732,"score_spread":0.2586124270738499,"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."}}