{"id":"W4390742919","doi":"10.1007/s10666-023-09950-w","title":"Addressing the Boundary and Modifiable Areal Unit Problems Simultaneously when Measuring Landscape Fragmentation Using Patch-Based Metrics: a Case Study of Effective Mesh Size in Nova Scotia, Canada","year":2024,"lang":"en","type":"article","venue":"Environmental Modeling & Assessment","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nova Scotia Department of Agriculture; Dalhousie University","funders":"","keywords":"Fragmentation (computing); Boundary (topology); Nova scotia; Computer science; Window (computing); Data mining; Data science; Operations research; Geography; Mathematics; World Wide Web; Archaeology","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":[0.0006626666,0.0002673722,0.0002864432,0.00008293897,0.0002698098,0.0001601565,0.000159585,0.00005861141,0.0001825628],"category_scores_gemma":[0.000008081426,0.0002039063,0.00003811573,0.0002567831,0.00003210373,0.0003339444,0.0001994938,0.0002596834,0.000002822446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009439258,"about_ca_system_score_gemma":0.00009181746,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8075302,"about_ca_topic_score_gemma":0.7391748,"domain_scores_codex":[0.9977334,0.0002250684,0.0004738845,0.0005271672,0.0007053227,0.0003351857],"domain_scores_gemma":[0.999198,0.000337951,0.000122031,0.000246818,0.0000046611,0.00009057642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001527163,0.0002160179,0.2241515,0.0001148336,0.00005029765,0.0003925795,0.002690375,0.7704229,0.0006567227,2.189169e-7,0.000002233831,0.001287058],"study_design_scores_gemma":[0.000849874,0.0001640953,0.00430952,0.0002449115,0.0001078359,0.00009053883,0.01251111,0.9813484,0.00009609442,0.00003646107,0.000006305106,0.0002348817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967828,0.0003472661,0.001298145,0.00002968487,0.0001499854,0.00125348,0.0000308429,0.00002107594,0.0000866867],"genre_scores_gemma":[0.999202,0.000008545472,0.0006245922,0.00003986292,0.00002445655,0.00004990421,0.00001279903,0.00003398705,0.000003893682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.219842,"threshold_uncertainty_score":0.8315057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05319625831616023,"score_gpt":0.2791043618771539,"score_spread":0.2259081035609936,"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."}}