{"id":"W7096816091","doi":"","title":"Fragmentation regimes of Canada&amp;apos;s forests","year":2011,"lang":"en","type":"article","venue":"","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fragmentation (computing); Forest fragmentation; Biodiversity; Ecosystem; Forest cover; Forest ecology; Land cover","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":[0.0002384928,0.0001368719,0.0001272306,0.001611368,0.001607566,0.001459345,0.0003852491,0.0001080787,0.001352191],"category_scores_gemma":[0.001062542,0.0001041403,0.0001721349,0.002403609,0.0007887096,0.0003015435,0.0005909241,0.0002244983,0.00007418298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0174207,"about_ca_system_score_gemma":0.01189641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9829699,"about_ca_topic_score_gemma":0.9956561,"domain_scores_codex":[0.9997104,0.00001162991,0.00001048802,0.00004232087,0.0001160383,0.0001091151],"domain_scores_gemma":[0.9991702,0.00003998344,0.0001543706,0.00003480945,0.0003973944,0.0002033032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007836582,0.00001707814,0.9471059,0.00005060777,0.00007054084,0.0001605769,0.003368179,0.003029415,0.001675116,0.003875564,0.003728081,0.03684054],"study_design_scores_gemma":[0.000001811391,0.00000535418,0.9929273,0.00002064225,0.000009452189,0.00006034181,0.001626117,0.001010339,0.0001367679,0.0001882579,0.004005173,0.000008434729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841837,0.000390586,0.0005102099,0.0001771224,0.000002868392,0.00003060481,0.002769049,0.00002945413,0.01190654],"genre_scores_gemma":[0.9967321,0.000224827,0.0005244234,0.00002537928,0.00000112471,0.000008459859,0.001144641,0.000004295163,0.001334856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0174207,"threshold_uncertainty_score":0.1263967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04429457105350838,"score_gpt":0.240204671916859,"score_spread":0.1959101008633507,"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."}}