{"id":"W4416599726","doi":"10.1007/s10661-026-15395-x","title":"How effective have Canadian national parks been at preventing landscape fragmentation?","year":2025,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Fragmentation (computing); National park; Habitat fragmentation; Habitat destruction; Habitat; Boreal","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001553445,0.000144769,0.00009866752,0.00006756265,0.0005133194,0.0001145552,0.00008010885,0.00005551221,0.0003535318],"category_scores_gemma":[0.000009110522,0.0001488605,0.0000396857,0.00006819763,0.00006745155,0.0003130819,0.0001408928,0.0001484729,0.00002973741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352997,"about_ca_system_score_gemma":0.00002057458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003656407,"about_ca_topic_score_gemma":0.001263511,"domain_scores_codex":[0.9989874,0.00005547399,0.0001391022,0.000319227,0.0002779789,0.0002208371],"domain_scores_gemma":[0.9996501,0.00006686765,0.00006586368,0.0001037689,0.000003056935,0.0001103697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004693568,0.00004726479,0.9756129,0.000004447273,0.00003429593,0.000002118043,0.0001053486,0.0002638574,0.004248516,0.00003271025,0.0008975405,0.01874625],"study_design_scores_gemma":[0.000308397,0.00003341188,0.9720269,0.00003373096,0.00002084703,0.000003239322,0.0007566384,0.001049993,0.002207245,0.000126942,0.02329099,0.0001417036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812699,0.00006656253,0.0001205404,0.001180091,0.0003122796,0.0003058396,0.00001907386,0.00001770944,0.01670803],"genre_scores_gemma":[0.9917013,0.00004355036,0.001011701,0.0001200968,0.00008455413,0.000161988,0.00004346954,0.000009258641,0.006824084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02239345,"threshold_uncertainty_score":0.6070356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005957883260324144,"score_gpt":0.2574298263346056,"score_spread":0.2514719430742815,"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."}}