{"id":"W2151867589","doi":"10.1038/srep02424","title":"Colour and odour drive fruit selection and seed dispersal by mouse lemurs","year":2013,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neurobiology and Insect Physiology Research","field":"Neuroscience","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vale (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; American Society of Primatologists","keywords":"Seed dispersal; Biological dispersal; Biology; Lemur; Frugivore; Olfaction; Selection (genetic algorithm); Sensory system; Seed predation; Ecology; Zoology; Artificial intelligence","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":[0.0001312176,0.0002463512,0.0001826764,0.0004566296,0.0001067375,0.0002166039,0.0001593126,0.0002075391,0.001258676],"category_scores_gemma":[0.000420949,0.0001408694,0.0001534108,0.00009297857,0.0002006415,0.000139604,0.0002706213,0.0002313121,0.0002125809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001440654,"about_ca_system_score_gemma":0.00006744306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001224479,"about_ca_topic_score_gemma":0.003064013,"domain_scores_codex":[0.9999183,0.00002272045,0.000004225189,0.00002105788,0.00001462142,0.00001906362],"domain_scores_gemma":[0.9997336,0.00002784692,0.0001302054,0.00001795999,0.00001976187,0.00007046088],"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":[0.0006640854,0.0001398776,0.3007801,0.00004744857,0.00006481233,0.0003204372,0.0002993456,0.0002328177,0.6889087,0.00009863304,0.0001992467,0.008244515],"study_design_scores_gemma":[0.000005375314,0.000132558,0.9934017,0.000003968917,0.0000160684,0.0001674319,0.00009231146,0.0006841686,0.005331679,0.00003889971,0.0001195836,0.000006139369],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996871,0.00006524863,0.00005798631,0.00001190455,7.749781e-7,0.00000113086,0.00002298859,0.000004627476,0.0001482745],"genre_scores_gemma":[0.9990716,0.00005306301,0.0002566876,0.00002584551,0.000002247765,0.000007768331,0.0000629967,0.000005701042,0.0005139752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001258676,"threshold_uncertainty_score":0.004210651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02042465698162258,"score_gpt":0.2614073967747612,"score_spread":0.2409827397931386,"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."}}