{"id":"W2100270492","doi":"10.1007/s10980-008-9290-z","title":"The influence of patch-delineation mismatches on multi-temporal landscape pattern analysis","year":2008,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; University of Calgary","funders":"","keywords":"Spurious relationship; Land cover; Change detection; Metric (unit); Cover (algebra); Computer science; Remote sensing; Landscape ecology; Cartography; Geography; Land use; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008989319,0.0002463798,0.000481781,0.0008578975,0.0005011688,0.001555489,0.0005018541,0.0009374223,0.0009012046],"category_scores_gemma":[0.05067354,0.0002118413,0.0004712263,0.001093491,0.0007791808,0.001686417,0.0007265799,0.0006422015,0.0001233266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007194068,"about_ca_system_score_gemma":0.0006277771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0112659,"about_ca_topic_score_gemma":0.01179628,"domain_scores_codex":[0.9974788,0.001397112,0.0001692947,0.0004985802,0.0002932723,0.0001630016],"domain_scores_gemma":[0.9315737,0.06005498,0.003478557,0.002223478,0.001821271,0.0008480072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001708581,0.0001583882,0.7539605,0.00008657183,0.0006371745,0.0005046525,0.0004244278,0.1793612,0.01511336,0.001982263,0.0006717502,0.04539119],"study_design_scores_gemma":[0.00003113875,0.0001280952,0.3219053,0.00001167623,0.0002721977,0.0003232977,0.0003599598,0.6699922,0.003741141,0.002747032,0.0004493728,0.00003847294],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911761,0.0001535966,0.007968015,0.0001053565,0.00001184697,0.000004886734,0.00007663166,0.00003557561,0.000468033],"genre_scores_gemma":[0.9989563,0.0000156113,0.0008781974,0.00001183366,0.000004058161,0.000001462761,0.00003939884,0.00001460427,0.00007858383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0112659,"threshold_uncertainty_score":0.04754061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104339637728588,"score_gpt":0.2201501292249994,"score_spread":0.2091067328477135,"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."}}