{"id":"W4244888375","doi":"10.1002/9780470015902.a0003228.pub2","title":"Foraging","year":2016,"lang":"en","type":"other","venue":"Encyclopedia of Life Sciences","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Foraging; Optimal foraging theory; Resource (disambiguation); Quality (philosophy); Set (abstract data type); Competitor analysis; Ecology; Range (aeronautics); Resource distribution; Game theory; Ideal free distribution; Computer science; Mathematical economics; Biology; Resource allocation; Mathematics; Economics; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004992799,0.0007964149,0.0005094893,0.0009082793,0.001653422,0.003157033,0.000953911,0.00162098,0.09772146],"category_scores_gemma":[0.002068373,0.0002698069,0.0005721884,0.0009039131,0.00109225,0.002304557,0.002134441,0.001110914,0.04211828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563333,"about_ca_system_score_gemma":0.001236224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004529816,"about_ca_topic_score_gemma":0.003688816,"domain_scores_codex":[0.9995408,0.00008357306,0.00003382339,0.0001359449,0.0001344076,0.00007139942],"domain_scores_gemma":[0.9995583,0.00007139031,0.00004373355,0.0001143628,0.0001447409,0.00006741904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002120306,0.00009730846,0.006297914,0.0007278332,0.00006642863,0.0005500495,0.002305135,0.00236548,0.003602488,0.3594078,0.2151971,0.4091703],"study_design_scores_gemma":[0.0000216136,0.00005189983,0.003675607,0.0002942976,0.00001892543,0.0004927139,0.0006414083,0.001754998,0.000585656,0.07751607,0.9149162,0.00003053266],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01923612,0.007116213,0.02700916,0.00748172,0.001493867,0.0002240514,0.002832044,0.0009333703,0.9336735],"genre_scores_gemma":[0.3443057,0.01138646,0.03322452,0.005162781,0.0006205685,0.0003606846,0.006075124,0.0005412827,0.5983229],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09772146,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02205852851286871,"score_gpt":0.2568163165595275,"score_spread":0.2347577880466588,"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."}}