{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002937727,0.001113458,0.0008358923,0.002486964,0.0003173765,0.001437764,0.001271905,0.0017136,0.002636382],"category_scores_gemma":[0.02158993,0.0004176316,0.000604627,0.001807,0.002063789,0.005116199,0.0007385478,0.001124092,0.0007926856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004343253,"about_ca_system_score_gemma":0.0002400926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002974632,"about_ca_topic_score_gemma":0.003298684,"domain_scores_codex":[0.9990839,0.000436299,0.00006967442,0.0001838515,0.0001676424,0.00005861285],"domain_scores_gemma":[0.9909115,0.004363419,0.00224113,0.001367272,0.0005646535,0.0005520725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000373487,0.000340127,0.7444984,0.0006967345,0.00129251,0.0001515204,0.0006677087,0.01367587,0.01075742,0.01147597,0.006076578,0.2099936],"study_design_scores_gemma":[0.0000522058,0.001226413,0.7965447,0.0006414696,0.000429887,0.001857242,0.001405524,0.05467718,0.007431091,0.1229347,0.01223433,0.000565085],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7953271,0.01767853,0.1487367,0.01185671,0.001190326,0.0001581675,0.003900135,0.001048947,0.02010344],"genre_scores_gemma":[0.9519202,0.003469646,0.03908049,0.002282638,0.0004074306,0.0001666375,0.0009997251,0.00007476523,0.001598579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002974632,"threshold_uncertainty_score":0.01553643,"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."}}