{"id":"W6929954340","doi":"10.5061/dryad.rp5ht80","title":"Data from: Better the devil you know? how familiarity and kinship affect prey responses to disturbance cues","year":2018,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Predation; Disturbance (geology); Predator; Sensory cue; Kin recognition; Eavesdropping; Alarm signal","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002138515,0.0007140391,0.0009027972,0.00007345198,0.0006389552,0.0004915376,0.004425575,0.0002257047,0.00001501335],"category_scores_gemma":[0.001137644,0.0004778062,0.0000420965,0.0001758864,0.000415626,0.0004774055,0.007388019,0.0008403964,0.00001193529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001978268,"about_ca_system_score_gemma":0.00004448739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008063306,"about_ca_topic_score_gemma":0.01516722,"domain_scores_codex":[0.995055,0.001442156,0.0004876479,0.001877857,0.0004481472,0.0006892346],"domain_scores_gemma":[0.9832721,0.009992401,0.0003412692,0.006030683,0.00004811868,0.0003154592],"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":[0.0003054604,0.00006019037,0.0006153376,0.001142416,0.0001727665,0.00002254637,0.0004467119,0.000001253515,0.00001152712,0.00006545948,0.9908819,0.006274398],"study_design_scores_gemma":[0.0002726541,0.0001117898,0.003694913,0.001912178,0.0005995108,0.00001029961,0.0001458852,0.0184949,0.000002856353,0.03137865,0.9426423,0.0007340922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006708112,0.001526244,0.07319471,0.0005759604,0.0003630942,0.0006513116,0.9168915,0.0000719079,0.0000172072],"genre_scores_gemma":[0.0003847444,0.00195643,0.1292652,0.0008133823,0.001255515,0.00004927213,0.8660724,0.00006875597,0.0001342143],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05607053,"threshold_uncertainty_score":0.9997674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1515564183993707,"score_gpt":0.404062137683235,"score_spread":0.2525057192838643,"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."}}