{"id":"W1580484901","doi":"10.5751/es-01983-120122","title":"Time Series of Landscape Fragmentation Caused by Transportation Infrastructure and Urban Development: a Case Study from Baden-W&amp;#252;rttemberg, Germany","year":2007,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Bundesamt für Naturschutz; Universität Stuttgart; Eidgenössische Technische Hochschule Zürich; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Fragmentation (computing); Geography; Landscape ecology; Ecology; Environmental planning; Habitat; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009310259,0.0004658356,0.0004375819,0.001987805,0.0008676932,0.0008360863,0.0009584671,0.0009267988,0.001421613],"category_scores_gemma":[0.001714296,0.000304464,0.0005835501,0.00322093,0.0008074775,0.00092203,0.001024379,0.0004990056,0.0002167035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002512821,"about_ca_system_score_gemma":0.000674843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1115587,"about_ca_topic_score_gemma":0.216969,"domain_scores_codex":[0.9994674,0.0001367623,0.00003790483,0.00008118439,0.0001242561,0.0001524427],"domain_scores_gemma":[0.9990733,0.0002588955,0.0002786541,0.00009991635,0.0001046343,0.0001845244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001125451,0.001575483,0.8357405,0.0005220327,0.001401585,0.0527491,0.02157035,0.01376097,0.0023353,0.002624407,0.0104419,0.05615289],"study_design_scores_gemma":[0.00006012554,0.0004458686,0.9713869,0.00009011506,0.00027728,0.004327033,0.01059886,0.003405363,0.0007079829,0.0003518813,0.008267396,0.00008109307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969908,0.0004104848,0.0002928927,0.0002099225,0.00001000927,0.00002548838,0.001082466,0.000008919387,0.0009689885],"genre_scores_gemma":[0.9971266,0.0005263828,0.0006381143,0.00004153626,0.000008002861,0.00001552806,0.001059291,0.000006890836,0.0005777112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1115587,"threshold_uncertainty_score":0.2218187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004633662274396562,"score_gpt":0.2160402014888995,"score_spread":0.211406539214503,"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."}}