{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001335507,0.001960458,0.001212845,0.002874661,0.0008697294,0.002103932,0.002630298,0.002360948,0.04122299],"category_scores_gemma":[0.007323156,0.0005935942,0.00143334,0.003715564,0.0005140282,0.001359015,0.002362112,0.001700086,0.04211602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049482,"about_ca_system_score_gemma":0.001660714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01926011,"about_ca_topic_score_gemma":0.04294566,"domain_scores_codex":[0.9990336,0.0001853297,0.0001327028,0.0003134768,0.0001951797,0.0001397608],"domain_scores_gemma":[0.9978653,0.0007485555,0.0003389826,0.0004390253,0.0003929533,0.0002152256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002651122,0.00006836792,0.007833008,0.005136632,0.0002002823,0.00008365556,0.0001605742,0.001098515,0.0007662692,0.001119065,0.9766515,0.0066171],"study_design_scores_gemma":[0.0006604242,0.00004330067,0.01985641,0.0008847867,0.00014094,0.0001126242,0.0001765868,0.00135824,0.0009918434,0.002126231,0.9735687,0.00007973347],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000520759,0.0001372775,0.0001093437,0.000100086,0.00003171007,0.0000135069,0.9982116,0.0004161686,0.0004595294],"genre_scores_gemma":[0.001524112,0.0001119808,0.0006704671,0.00006154875,0.000009698111,0.0001253801,0.9968862,0.0001062782,0.0005042382],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04122299,"threshold_uncertainty_score":0.1379046,"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."}}