{"id":"W6967157708","doi":"10.5061/dryad.n6d4cp2","title":"Data from: Better safe than sorry: spider societies mitigate risk by prioritizing caution","year":2019,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Population; Spider; Predation; Predator; Immigration; Social group","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007451479,0.0005277881,0.000542718,0.00001878775,0.000772503,0.0003851414,0.002775035,0.0003556308,0.0001492617],"category_scores_gemma":[0.00001580174,0.0002419876,0.00008330654,0.0001605301,0.0001797211,0.0007196154,0.003047154,0.0008373975,0.0001515418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002227891,"about_ca_system_score_gemma":0.00001421554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01432626,"about_ca_topic_score_gemma":0.009952768,"domain_scores_codex":[0.9962732,0.0003590028,0.0004695817,0.001898177,0.0004154104,0.0005846542],"domain_scores_gemma":[0.9977087,0.0003326962,0.0004469618,0.001320241,0.00002960849,0.0001617785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004553513,0.00006847003,0.006972181,0.000129505,0.00008443877,0.000004982396,0.00008301488,0.000002144855,0.003891798,1.471277e-7,0.9807287,0.007989038],"study_design_scores_gemma":[0.0001295759,0.0001026659,0.06563242,0.0004124665,0.000413685,0.00000826586,0.0005063156,0.001630952,0.00001397145,0.00007230103,0.9304612,0.0006161971],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.226516,0.00199845,0.000005541544,0.000400423,0.000631679,0.0002549264,0.7701188,0.0000594139,0.00001469649],"genre_scores_gemma":[0.005462008,0.006017752,0.0001230377,0.000321807,0.002542494,0.000008410911,0.9853138,0.000006684147,0.0002039788],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.221054,"threshold_uncertainty_score":0.9922374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03894087544979681,"score_gpt":0.2562061913208993,"score_spread":0.2172653158711025,"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."}}