{"id":"W7018951884","doi":"","title":"The effect of forest fragmentation on aboveground carbon stocks and tree diversity: a case study of the Montérégie, Québec","year":2014,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fragmentation (computing); Carbon stock; Tree (set theory); Carbon fibers; Climate change","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000452353,0.0003202571,0.0004198236,0.0006841489,0.005718094,0.001927135,0.001542541,0.0007941928,0.003427848],"category_scores_gemma":[0.001347365,0.000287744,0.0003671098,0.002488423,0.001509527,0.0005253304,0.0008251517,0.0009619114,0.0002182127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03883945,"about_ca_system_score_gemma":0.01887263,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972782,"about_ca_topic_score_gemma":0.9993073,"domain_scores_codex":[0.9996077,0.00007683005,0.000009716421,0.00004884948,0.00007459219,0.0001822181],"domain_scores_gemma":[0.9990583,0.0002314713,0.0000929458,0.00003704791,0.0002950273,0.0002853112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005585967,0.0005693912,0.8667611,0.0002738737,0.0004537574,0.01001631,0.02628142,0.008126013,0.003072381,0.005188095,0.01497747,0.06372145],"study_design_scores_gemma":[0.00005320894,0.00009951192,0.9498584,0.0001628026,0.0001019507,0.0005165272,0.03157582,0.004632791,0.0002941739,0.0002583647,0.01237784,0.00006861737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988725,0.0005619193,0.0002080694,0.0008059634,0.000009752334,0.00004841627,0.000831396,0.00001399862,0.008795482],"genre_scores_gemma":[0.9917174,0.0004503891,0.000375625,0.000174811,0.000003890053,0.00002095993,0.0002517122,0.00001239328,0.006992921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03883945,"threshold_uncertainty_score":0.2818013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135344255659059,"score_gpt":0.2064031271070678,"score_spread":0.1950496845504772,"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."}}