{"id":"W7047076096","doi":"","title":"Evaluation of aboveground forest carbon sequestration for climate change mitigation targets: a case study on McGill University properties","year":2020,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbon sequestration; Climate change mitigation; Climate change; Global warming; Carbon sink; Carbon fibers; Global change","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":[0.0009214077,0.0003047917,0.0002446467,0.0005041721,0.002655395,0.001894965,0.001444323,0.0005211075,0.00593898],"category_scores_gemma":[0.001189156,0.0001529431,0.0002902937,0.0008823827,0.0007496239,0.0006755985,0.0008131989,0.0007055979,0.0003955878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01374836,"about_ca_system_score_gemma":0.009221412,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6935369,"about_ca_topic_score_gemma":0.9045411,"domain_scores_codex":[0.9993937,0.0001156135,0.000007096963,0.00005676144,0.0001552743,0.0002715636],"domain_scores_gemma":[0.9989396,0.0002613493,0.00005890085,0.00007608014,0.0003155317,0.0003484816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004497226,0.005671767,0.331627,0.0004806135,0.0003653042,0.01402994,0.01377116,0.09615881,0.06552789,0.02574978,0.06714302,0.3749775],"study_design_scores_gemma":[0.000417428,0.00392856,0.7324442,0.0002190458,0.0004046924,0.0009904342,0.04367658,0.09349911,0.03106188,0.004418345,0.08871493,0.0002248118],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721053,0.00009967166,0.000385173,0.0007057901,0.000007924423,0.0001150393,0.0003381774,0.00005619169,0.02618682],"genre_scores_gemma":[0.9894378,0.00007608451,0.0008236881,0.00009030936,0.000002809539,0.00002584009,0.0001424302,0.00002189292,0.009379115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6935369,"threshold_uncertainty_score":0.6165358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07109266788591558,"score_gpt":0.2962147695046313,"score_spread":0.2251221016187158,"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."}}