{"id":"W4295929078","doi":"10.1093/beheco/arac086","title":"Effects of resource availability on the web structure of female western black widows: is the web structure constrained by physiological trade-offs?","year":2022,"lang":"en","type":"article","venue":"Behavioral Ecology","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Predation; Trap (plumbing); Abundance (ecology); Ecology; Food web; Resource (disambiguation); Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002082345,0.0002238535,0.0003793561,0.00001156285,0.0003895478,0.00001228064,0.0005438881,0.0002074675,0.00270296],"category_scores_gemma":[0.00003939332,0.00007049452,0.0001930267,0.0002877179,0.0009603528,0.00003342682,0.0002003593,0.0005473385,0.000003337736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004440526,"about_ca_system_score_gemma":0.00002446742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004810487,"about_ca_topic_score_gemma":0.0002109785,"domain_scores_codex":[0.9978768,0.000658377,0.0003575188,0.0005110059,0.0002927172,0.000303552],"domain_scores_gemma":[0.9991013,0.0003329998,0.000283983,0.0001904933,0.00003846203,0.00005269706],"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":[0.000139238,0.0003751894,0.0419112,0.00001105269,0.00001006367,0.000002627713,0.0002313616,0.000009683947,0.951901,0.00005963136,0.00309603,0.002252927],"study_design_scores_gemma":[0.0003380202,0.003638963,0.9062943,0.000005598324,0.0001106979,0.00002147491,0.001742352,0.00001030094,0.07881264,0.0001673276,0.008654502,0.0002038379],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943022,0.000056412,4.057879e-8,0.003346571,0.0001809224,0.0007821075,0.001277834,0.00003147623,0.00002244569],"genre_scores_gemma":[0.9991398,0.000008310717,0.000005321885,0.0005031475,0.00009757663,0.00002905975,0.00008385467,0.000002484625,0.0001304812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8730884,"threshold_uncertainty_score":0.9982087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147670056222619,"score_gpt":0.2438333222902969,"score_spread":0.2223566217280707,"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."}}