{"id":"W1213061178","doi":"","title":"Intensive management of moose at high density: impediments, achievements, and recommendations.","year":2006,"lang":"en","type":"article","venue":"Alces","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Ecology; Biology; Environmental resource management; Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009915989,0.00009176114,0.0001105128,0.00002392092,0.00008620042,0.00001258461,0.00008877167,0.00002421566,0.000463116],"category_scores_gemma":[0.000002439083,0.00008383235,0.00002182734,0.00008800362,0.00005812395,0.0001100027,0.0005741756,0.00002873251,0.0001169523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009429331,"about_ca_system_score_gemma":8.952696e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002477196,"about_ca_topic_score_gemma":0.00235175,"domain_scores_codex":[0.9992911,0.0000186984,0.0001910197,0.000199233,0.0001515499,0.0001483878],"domain_scores_gemma":[0.999685,0.00002067701,0.00009428377,0.0001555605,0.00000968452,0.00003472267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008347971,0.0002293879,0.8789142,0.0001307916,0.0001865003,0.00003861199,0.0003428206,0.0003619774,0.005266828,0.003234083,0.03382339,0.07738793],"study_design_scores_gemma":[0.001043178,0.000115305,0.9680704,0.00008119973,0.0001091561,0.00001886351,0.0009645277,0.001348192,0.00429353,0.004047514,0.01956711,0.0003409547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950845,0.0000441905,0.0001011145,0.0005045948,0.0001094441,0.0001713235,0.00001864733,0.00001643272,0.003949701],"genre_scores_gemma":[0.9960211,0.0001256921,0.001316723,0.0001071405,0.00001034228,0.000008718563,0.00005588947,0.000007509306,0.00234687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08915627,"threshold_uncertainty_score":0.5070795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003770409527593751,"score_gpt":0.1950694436205052,"score_spread":0.1912990340929115,"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."}}