{"id":"W4309526573","doi":"10.1101/2022.11.20.517261","title":"Smart squirrels use a mortise-tenon structure to fix nuts on understory twigs","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Guangdong Academy of Sciences; Chinese Academy of Forestry","keywords":"Understory; Mortise and tenon; Cache; Canopy; Rainforest; Agroforestry; Biology; Horticulture; Ecology; Geography; Parallel computing; Computer science; Archaeology","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":[0.000113045,0.0003015588,0.0001357308,0.000226691,0.0003564169,0.0002127763,0.0001937445,0.0002974354,0.001021274],"category_scores_gemma":[0.0002124662,0.0001828346,0.0001995165,0.00006874445,0.0003568715,0.0002278757,0.0003844242,0.0002330458,0.0003052829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001232734,"about_ca_system_score_gemma":0.0001083595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001549755,"about_ca_topic_score_gemma":0.007319618,"domain_scores_codex":[0.9999393,0.000004953493,0.000003330912,0.0000277805,0.000008937393,0.00001562711],"domain_scores_gemma":[0.999787,0.00001263877,0.00007009842,0.00003198913,0.00002981721,0.00006853496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002287678,0.0001177194,0.1848359,0.0001109057,0.00005087195,0.0007320557,0.001521672,0.0003302281,0.7952315,0.0002315292,0.0003837273,0.01622509],"study_design_scores_gemma":[0.00001993634,0.00120585,0.9612023,0.0000338722,0.000054853,0.001773646,0.001456439,0.001578337,0.0292907,0.0002153144,0.003142596,0.00002603186],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985136,0.00003342328,0.0004517694,0.00001214668,0.000004143616,0.000007028954,0.0000216306,0.00002172332,0.0009345022],"genre_scores_gemma":[0.9970291,0.00002646738,0.001775635,0.00005698795,0.00000317636,0.000007188534,0.00005678895,0.000006688615,0.001037949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001549755,"threshold_uncertainty_score":0.003416479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02336614121585878,"score_gpt":0.2337070046229787,"score_spread":0.2103408634071199,"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."}}