{"id":"W4398988565","doi":"10.7910/dvn/u2hvb6/euopxp","title":"A__1__20170511_012256.wav","year":2019,"lang":"hi","type":"dataset","venue":"Harvard Dataverse","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Liana; Replication (statistics); Abundance (ecology); Tropical and subtropical dry broadleaf forests; Tropical forest; Biology; Environmental science; Ecology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001228959,0.0031583,0.002905257,0.005460655,0.001507171,0.005552399,0.005019526,0.003050219,0.3745066],"category_scores_gemma":[0.009964387,0.001236268,0.001371147,0.009971827,0.0007840109,0.002850251,0.003709813,0.002179865,0.4584665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00145494,"about_ca_system_score_gemma":0.002621405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01455348,"about_ca_topic_score_gemma":0.02249242,"domain_scores_codex":[0.9988483,0.000189762,0.00009673203,0.0004439063,0.0002321535,0.0001891373],"domain_scores_gemma":[0.9967605,0.001141506,0.000279983,0.0007917489,0.0005072639,0.0005189753],"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":[0.00006711236,0.00001104251,0.0003810858,0.0008281527,0.00003760073,0.00001351575,0.0000198281,0.0001257801,0.00009450488,0.0005437846,0.9964017,0.001475929],"study_design_scores_gemma":[0.0002526485,0.00001451524,0.001558391,0.0003490439,0.00004347587,0.00002767635,0.00003923753,0.0002088415,0.0002965367,0.002065869,0.9951074,0.00003636895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002906027,0.00006239853,0.00004330067,0.00004194013,0.00001283254,0.000003545249,0.9983553,0.0006408827,0.0008107005],"genre_scores_gemma":[0.0003341763,0.0000913583,0.0001738422,0.00007191978,0.000009672784,0.00005333605,0.9979172,0.0003957186,0.0009527681],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6254934,"threshold_uncertainty_score":0.8921904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03367428870313032,"score_gpt":0.2923453467585199,"score_spread":0.2586710580553895,"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."}}