{"id":"W2046607684","doi":"10.1007/s10980-011-9601-7","title":"Measuring landscape configuration with normalized metrics","year":2011,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; University of Alberta","funders":"York University","keywords":"Normalization (sociology); Landscape ecology; Correlation; Abundance (ecology); Metric (unit); Habitat; Ecology; Statistics; Autocorrelation; Inference; Mathematics; Computer science; Artificial intelligence; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001047299,0.0005960725,0.0007321583,0.004388641,0.0003446744,0.001595469,0.0005932777,0.0003795658,0.001709509],"category_scores_gemma":[0.007928874,0.0002929293,0.0004067933,0.004899862,0.0007660916,0.003302444,0.001148013,0.0003565494,0.0003364222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006766468,"about_ca_system_score_gemma":0.0004499714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001854088,"about_ca_topic_score_gemma":0.003426974,"domain_scores_codex":[0.9985884,0.0004314693,0.00012437,0.0003324373,0.0004459053,0.00007735973],"domain_scores_gemma":[0.9967418,0.0008776376,0.0006263418,0.0008772979,0.0007254358,0.0001514984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003481974,0.0002553192,0.1587891,0.000366696,0.0006496839,0.0002822937,0.0006069927,0.1026948,0.05539452,0.07505287,0.002976424,0.6025831],"study_design_scores_gemma":[0.00004342154,0.0005300663,0.1861484,0.0001494059,0.000218267,0.00215186,0.0008686755,0.6290611,0.03518637,0.1353095,0.01011334,0.0002196992],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4112469,0.0003360754,0.579493,0.00005858028,0.00004597896,0.000110377,0.001133034,0.001004668,0.006571458],"genre_scores_gemma":[0.8249605,0.0001441642,0.173056,0.00002056752,0.00001606184,0.0001082235,0.00100038,0.000136283,0.0005578544],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004388641,"threshold_uncertainty_score":0.005718946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02293219887419815,"score_gpt":0.2022623446612541,"score_spread":0.1793301457870559,"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."}}