{"id":"W1988195659","doi":"10.1007/s10980-004-0286-z","title":"The influence of forest harvesting on landscape spatial patterns and old-growth-forest fragmentation in southeast British Columbia","year":2005,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Research Council Canada; University of British Columbia","keywords":"Fragmentation (computing); Landscape ecology; Geography; Spatial ecology; Common spatial pattern; Habitat; Ecology; Forest fragmentation; Habitat fragmentation; Spatial variability; Old-growth forest; Nature Conservation; Forestry; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002249323,0.00008901573,0.000136313,0.00003162269,0.0001555974,0.0001026073,0.0001840523,0.00006970228,0.000831755],"category_scores_gemma":[0.00009345113,0.00009634686,0.0000233046,0.0001114942,0.0001327898,0.0001514798,0.0001374212,0.0001159967,0.0001236009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002800494,"about_ca_system_score_gemma":0.000005896316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04571769,"about_ca_topic_score_gemma":0.847809,"domain_scores_codex":[0.999023,0.00006129899,0.0002513731,0.0002246178,0.0001405115,0.0002992191],"domain_scores_gemma":[0.9995251,0.0001587157,0.0001192551,0.000135756,0.000009073928,0.00005211162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001694168,0.00004249215,0.9840677,0.000009327651,0.00000518913,0.000005829345,0.000155049,0.009231317,0.00001012919,0.00009050872,0.001554351,0.004811156],"study_design_scores_gemma":[0.0007134877,0.0001581077,0.9933513,0.00002177881,0.000007508263,0.000007416934,0.00006384157,0.004455086,0.000002139594,0.0001738258,0.000942635,0.0001029058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993946,0.000009497769,0.000003643451,0.0003530374,0.00006432187,0.0002305521,0.00001288363,0.00001629828,0.005363776],"genre_scores_gemma":[0.9977819,0.0000436314,0.00003615231,0.0002746591,0.00008392011,0.00003461672,0.0000166099,0.00001113612,0.001717377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8020912,"threshold_uncertainty_score":0.960637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003949337070484801,"score_gpt":0.1966399741562808,"score_spread":0.192690637085796,"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."}}