{"id":"W4390645454","doi":"10.1016/j.jenvman.2023.120009","title":"Are human-induced changes good or bad to dynamic landscape connectivity?","year":2024,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre de Géomatique du Québec","funders":"European Regional Development Fund; Université de Poitiers; Centre National de la Recherche Scientifique; Agence Nationale de la Recherche","keywords":"Landscape ecology; Ecology; Geography; Habitat; Biodiversity; Metapopulation; Ecological network; Land cover; Landscape connectivity; Population; Land use; Biology; Ecosystem","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002427106,0.0001649327,0.0001719953,0.0001588596,0.0001171608,0.00009665715,0.0002200482,0.00004001125,0.005574991],"category_scores_gemma":[0.000007089334,0.0001294265,0.00009165968,0.0001883016,0.00002977426,0.0003549606,0.0002251866,0.0001689608,0.0007343792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004685496,"about_ca_system_score_gemma":0.000002598766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001861082,"about_ca_topic_score_gemma":0.0002307405,"domain_scores_codex":[0.9988001,0.00004173562,0.0002923633,0.0002489049,0.000411207,0.0002057015],"domain_scores_gemma":[0.9994639,0.00003397915,0.0001939313,0.0001866199,0.000002098096,0.0001194594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006588423,0.002849268,0.24755,0.0002792189,0.001434635,0.003854214,0.001931458,0.003794839,0.3060785,0.0006135013,0.09170687,0.3392487],"study_design_scores_gemma":[0.0004570624,0.0006923667,0.8931339,0.0002176232,0.0001245056,0.0001353892,0.001958944,0.0006165933,0.0007526579,0.0001253666,0.1014946,0.0002909653],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921272,0.00007401896,0.0003306843,0.002589085,0.0004968416,0.0002464607,0.00001059293,0.00002280412,0.004102357],"genre_scores_gemma":[0.9921889,0.00007798894,0.0003822291,0.0009097104,0.0000926028,0.0000193925,0.000002543339,0.00002251069,0.006304103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.645584,"threshold_uncertainty_score":0.995334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450680681085668,"score_gpt":0.2602456332260718,"score_spread":0.2457388264152151,"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."}}