{"id":"W4412181807","doi":"10.1101/2025.07.04.663247","title":"Learn to hear your prey: The role of associative learning on web building and hunting behaviour in black widow spiders ( <i>Latrodectus hesperus</i> )","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Predation; Associative learning; Ecology; Associative property; Biology; Communication; Psychology; Mathematics; Pure mathematics; Neuroscience","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":[0.0001673636,0.000180484,0.0002111984,0.0002285187,0.0001624315,0.0003560043,0.0001496809,0.000266423,0.00114434],"category_scores_gemma":[0.0004710657,0.0001470415,0.0001137799,0.00005370416,0.000286034,0.0002010464,0.0002967284,0.0003296039,0.0001549027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001116703,"about_ca_system_score_gemma":0.0000788566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006621633,"about_ca_topic_score_gemma":0.001076471,"domain_scores_codex":[0.9999187,0.0000161484,0.000006688522,0.00002367145,0.00001557207,0.00001913754],"domain_scores_gemma":[0.9995938,0.00007447217,0.0001273886,0.00003399717,0.00003120803,0.0001391225],"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":[0.0006216093,0.000620297,0.151843,0.00007331399,0.00005437737,0.0002049724,0.0003352287,0.0003570676,0.8349375,0.00005579158,0.00008074936,0.01081618],"study_design_scores_gemma":[0.00001150565,0.001048016,0.974844,0.000005237963,0.00001787469,0.0002300772,0.0002183381,0.002022443,0.02134416,0.00007636284,0.0001716361,0.00001033343],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997794,0.00001645954,0.00006522248,0.000006097727,6.164949e-7,0.000002317119,0.000008742149,0.000003494711,0.0001175885],"genre_scores_gemma":[0.9995648,0.00001356338,0.0001872124,0.00001464739,0.000001342119,0.000005169228,0.00001902085,0.000001899929,0.0001922768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00114434,"threshold_uncertainty_score":0.003828228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01359072883319683,"score_gpt":0.227793050674957,"score_spread":0.2142023218417602,"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."}}