{"id":"W4385343175","doi":"10.1007/s10980-023-01727-6","title":"Impacts of anthropogenic land transformation on species-specific habitat amount, fragmentation, and connectivity in the Adirondack-to-Laurentians (A2L) transboundary wildlife linkage between 2000 and 2015: Implications for conservation and ecological restoration","year":2023,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University; Concordia University","funders":"Concordia University","keywords":"Habitat; Habitat fragmentation; Wildlife; Habitat destruction; Landscape ecology; Ecology; Geography; Fragmentation (computing); Landscape connectivity; Wildlife corridor; Biodiversity; Odocoileus; Wildlife conservation; Threatened species; Population; Biology; Biological dispersal","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007319786,0.0001277456,0.0002120822,0.0001231451,0.0003201974,0.00003288661,0.00008326898,0.0001683328,0.00008379979],"category_scores_gemma":[0.00008599172,0.0001053383,0.00002427652,0.0003290982,0.0002651025,0.0002576328,0.00002162806,0.0001218012,0.00001306256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006213333,"about_ca_system_score_gemma":0.00002936863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007153522,"about_ca_topic_score_gemma":0.01131119,"domain_scores_codex":[0.9988824,0.0001996251,0.0003196496,0.0002889475,0.00009016065,0.0002191989],"domain_scores_gemma":[0.998705,0.0009819159,0.0001101229,0.0001244326,0.00001890627,0.00005964104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009295066,0.00005963638,0.991004,0.00001900796,0.00001092263,5.772968e-7,0.002051905,0.0001276077,0.0004314135,0.0005350493,0.005067566,0.0005993232],"study_design_scores_gemma":[0.001094005,0.0005745237,0.993773,0.000007020815,0.0000259388,0.00000589339,0.0003586241,0.0004977694,0.00002911255,0.001461283,0.00206217,0.0001107028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734751,0.00003675744,0.0005903285,0.02460025,0.00007135555,0.0009822095,0.0001304888,0.00002419672,0.00008929012],"genre_scores_gemma":[0.9980618,0.0002336287,0.0001046145,0.001098876,0.00004065196,0.0001545859,0.0002806336,0.000007867157,0.00001736998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02458665,"threshold_uncertainty_score":0.6311909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02195594296966626,"score_gpt":0.2690357844330855,"score_spread":0.2470798414634192,"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."}}