{"id":"W7005331309","doi":"","title":"Reducing Moose???Vehicle Collisions through Salt Pool Removal and Displacement: An Agent-Based Modeling Approach","year":2010,"lang":"en","type":"article","venue":"Digital Library Of The Commons Repository (Indiana University)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife; Salt marsh; Predation; Salt (chemistry); Forage; Sea salt; Forest cover; Hydrology (agriculture)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004232026,0.0001520598,0.0001538903,0.00009521133,0.0002986627,0.0001241316,0.0005632057,0.0001265299,0.000002992672],"category_scores_gemma":[0.00001544174,0.0001409933,0.0001560985,0.0002552924,0.0002161443,0.0001543649,0.0004558844,0.0001759004,4.421377e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000108881,"about_ca_system_score_gemma":0.00009582151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004715613,"about_ca_topic_score_gemma":0.0000094889,"domain_scores_codex":[0.9991142,0.00006987904,0.0001702149,0.0003494005,0.0001285711,0.0001677983],"domain_scores_gemma":[0.9989505,0.00001483142,0.0001167886,0.0007799703,0.00003335248,0.0001045492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003852128,0.0009337239,0.03630048,0.00008621793,0.0003124718,0.000122168,0.0002872006,0.005555883,0.9506023,0.001342737,0.002560146,0.001511478],"study_design_scores_gemma":[0.00072991,0.0002382813,0.0007937137,0.00005489673,0.0001615268,0.00007428732,0.0005120247,0.05053295,0.9194287,0.0001219416,0.02684581,0.0005059313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704243,0.00006434001,0.001711912,0.00007372657,0.00003061215,0.0001754811,0.00004532237,0.00004418646,0.02743015],"genre_scores_gemma":[0.9949486,0.0000112222,0.002326352,0.00004449594,0.00004450823,8.520551e-7,0.0001759691,0.00002353464,0.002424503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04497707,"threshold_uncertainty_score":0.574954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007570654021879436,"score_gpt":0.1965259394503086,"score_spread":0.1889552854284292,"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."}}