{"id":"W2124550604","doi":"10.1890/06-0389","title":"CAN WE MEASURE CARRYING CAPACITY WITH FORAGING BEHAVIOR?","year":2007,"lang":"en","type":"article","venue":"Ecology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Lakehead University","keywords":"Foraging; Carrying capacity; Ecology; Optimal foraging theory; Forage; Population; Habitat; Metric (unit); Ideal free distribution; Density dependence; Range (aeronautics); Population density; Behavioral ecology; Biology; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003795867,0.00008308033,0.0000966723,0.00002748707,0.0002097435,0.000005360762,0.0001051983,0.0001091625,0.0008511435],"category_scores_gemma":[0.00002174994,0.00007545656,0.00001793789,0.0001246814,0.0001786968,0.00008532875,0.00004461968,0.0001562256,0.000128103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002760948,"about_ca_system_score_gemma":0.00001653079,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003684072,"about_ca_topic_score_gemma":0.04339727,"domain_scores_codex":[0.9992409,0.00003903631,0.0001148582,0.0001999215,0.00009282858,0.0003124874],"domain_scores_gemma":[0.9996811,0.00006573385,0.00005653955,0.0001252203,0.000006314933,0.0000650491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001285391,0.00002957617,0.997209,0.000001088892,0.00000503997,0.00003371437,0.00035114,0.00005353916,0.000323203,0.0002432346,0.0004202373,0.001317346],"study_design_scores_gemma":[0.000216987,0.00007968951,0.9976921,0.000002153221,0.00001758576,0.00004880772,0.0001608748,0.00002968047,0.0002503305,0.0006079135,0.0007949942,0.0000988805],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902233,0.000003768693,0.0006405504,0.001981505,0.0001941987,0.0001548395,0.000001125065,0.00004240591,0.006758241],"genre_scores_gemma":[0.9978961,8.756259e-7,0.0007524436,0.001022383,0.0000349639,0.00002560543,0.000002445198,0.000007760624,0.0002574544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04302887,"threshold_uncertainty_score":0.9740582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01846857954441036,"score_gpt":0.2180710077410541,"score_spread":0.1996024281966437,"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."}}