{"id":"W92375357","doi":"10.5751/es-00649-090209","title":"Shopping Centers as Panther Habitat: Inferring Animal Locations from Models","year":2004,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemetry; Habitat; Environmental science; Daylight; Ecology; Geography; Remote sensing; Environmental resource management; Computer science; Telecommunications; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001035788,0.0005680113,0.0005626281,0.001729583,0.0005443689,0.001745625,0.001638684,0.001155657,0.002727082],"category_scores_gemma":[0.004538877,0.0009210373,0.001136039,0.001232675,0.0007738136,0.001529602,0.0008807137,0.0008384922,0.0006113721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00130528,"about_ca_system_score_gemma":0.0009004878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06486239,"about_ca_topic_score_gemma":0.06883078,"domain_scores_codex":[0.9996899,0.000154885,0.00001161909,0.00009096759,0.00002043064,0.00003224043],"domain_scores_gemma":[0.998254,0.001348651,0.000140888,0.000099,0.00007004021,0.00008739685],"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":[0.00007758508,0.0000345039,0.02447022,0.00002794019,0.00007943533,0.00006483119,0.0001069621,0.9596556,0.0000965771,0.004538572,0.0009292478,0.00991861],"study_design_scores_gemma":[0.000007350985,0.000007968194,0.001711732,0.000007810946,0.00001338778,0.00002447696,0.00002886837,0.9948147,0.00002022633,0.00296013,0.0003970516,0.00000624943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7201833,0.0008818943,0.2672293,0.001459709,0.00005946871,0.00010403,0.002667489,0.001577247,0.005837421],"genre_scores_gemma":[0.9660966,0.0003516564,0.03036013,0.00008543563,0.0000342988,0.00009260746,0.001024785,0.00007669027,0.001877787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06486239,"threshold_uncertainty_score":0.1289697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305489017891816,"score_gpt":0.2193956902432601,"score_spread":0.2063408000643419,"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."}}