{"id":"W4390253368","doi":"","title":"Assessment of Moisture Effect in Simulating Forestry Biomass Supply Chain Strategy: Case Study of New Brunswick, Canada","year":2017,"lang":"en","type":"article","venue":"University of Zagreb University Computing Centre (SRCE)","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of New Brunswick","funders":"","keywords":"Biomass (ecology); Forestry; Supply chain; Business; Moisture; Chain (unit); Environmental science; Geography; Ecology; Meteorology; Marketing; Physics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000399815,0.0008858353,0.0004446842,0.0006884913,0.001209084,0.001133887,0.001375328,0.0009846832,0.002402226],"category_scores_gemma":[0.001041339,0.0003806952,0.0006879885,0.001256051,0.0007021663,0.0003875153,0.0004975769,0.0006921596,0.0001164487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01447942,"about_ca_system_score_gemma":0.008486287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9508405,"about_ca_topic_score_gemma":0.9510076,"domain_scores_codex":[0.9997782,0.0000348759,0.000008261181,0.00002899993,0.00003534433,0.0001143102],"domain_scores_gemma":[0.9992518,0.0003173399,0.00004634378,0.00002590039,0.0002648759,0.00009373091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001972576,0.0002251038,0.0285043,0.0000574714,0.00004679736,0.000690017,0.0001368039,0.9635248,0.0016365,0.0007992796,0.0005541226,0.003627538],"study_design_scores_gemma":[0.00008643339,0.0001289435,0.01372735,0.00001593751,0.00003670698,0.00002963165,0.0009023219,0.9825716,0.001436771,0.0001933379,0.0008456259,0.00002537831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946727,0.00006514306,0.0008211788,0.00009333734,0.000007406706,0.0000653241,0.0004978806,0.00003156669,0.003745493],"genre_scores_gemma":[0.9958404,0.0000954334,0.001479792,0.00002480545,0.000001375736,0.00003299046,0.000495221,0.000008559266,0.002021353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04915947,"threshold_uncertainty_score":0.105056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007519427556052032,"score_gpt":0.2084118630075515,"score_spread":0.2008924354514994,"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."}}