{"id":"W7052733078","doi":"","title":"SITE-SPECIFIC CARBON STOCK ASSESSMENTS OF SHELTERBELT TREES IN SASKATCHEWAN","year":2021,"lang":"en","type":"dissertation","venue":"University Library (University of Saskatchewan)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Windbreak; Climate change; Carbon stock; Carbon sequestration; Stock (firearms); Tree planting","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":[0.0004864012,0.0002623206,0.0002256535,0.001506846,0.0009979283,0.0009157233,0.0006085131,0.0002506746,0.001760423],"category_scores_gemma":[0.0007604289,0.0001788906,0.0002373328,0.003964751,0.0003776032,0.0004860469,0.0005588373,0.0003226622,0.0003740409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00988397,"about_ca_system_score_gemma":0.008466468,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9074328,"about_ca_topic_score_gemma":0.9880519,"domain_scores_codex":[0.9997744,0.00002592845,0.0000149271,0.00005311447,0.00007441264,0.0000573467],"domain_scores_gemma":[0.9989042,0.0001365757,0.00007987903,0.00007190501,0.0006767504,0.0001306138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001491654,0.00007179601,0.9392542,0.00009323483,0.0001220587,0.000389579,0.002692678,0.005108574,0.005943295,0.0008936875,0.002223083,0.04305856],"study_design_scores_gemma":[0.000006427926,0.00003080418,0.9850366,0.00005009577,0.00002719146,0.00005273867,0.005830518,0.003612162,0.001244124,0.0002118553,0.003869488,0.00002804774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917275,0.0001050322,0.0004183459,0.00006234022,0.00000333795,0.00004823512,0.00366734,0.00001601364,0.003951909],"genre_scores_gemma":[0.98816,0.0004280434,0.001581798,0.00006701685,0.000001794697,0.00006729134,0.004551373,0.00001581148,0.005126887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09256721,"threshold_uncertainty_score":0.1862246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008816507239206435,"score_gpt":0.1839382700012336,"score_spread":0.1751217627620272,"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."}}