{"id":"W4398918625","doi":"10.7910/dvn/u2hvb6/ok4l1i","title":"A__1__20170510_090356.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 forest; Tropical and subtropical dry broadleaf forests; Biology; Geography; Forestry; Ecology; Virology","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":[0.001218378,0.003137877,0.00289843,0.005512123,0.001480621,0.005593752,0.005000407,0.003021798,0.3728888],"category_scores_gemma":[0.01000534,0.00121848,0.001390008,0.009983975,0.0007798397,0.002883372,0.003700855,0.002157577,0.4565337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001439959,"about_ca_system_score_gemma":0.002621816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01433944,"about_ca_topic_score_gemma":0.02186582,"domain_scores_codex":[0.9988595,0.0001871071,0.00009698788,0.0004396731,0.0002306785,0.0001860581],"domain_scores_gemma":[0.9968045,0.001125522,0.0002797623,0.0007819937,0.0004959104,0.0005123806],"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":[0.00007006095,0.00001100514,0.0003844255,0.000855815,0.00003918554,0.00001386188,0.00002013059,0.0001280884,0.00009877491,0.0005633478,0.9962979,0.001517568],"study_design_scores_gemma":[0.0002548049,0.00001465163,0.001532433,0.0003484566,0.00004434493,0.00002798758,0.00003841454,0.0002096382,0.0002965909,0.002096109,0.9951003,0.00003623724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002926683,0.00006269151,0.00004361302,0.00004154545,0.00001279445,0.000003527987,0.9983322,0.0006545155,0.0008199632],"genre_scores_gemma":[0.0003399847,0.00009225743,0.0001739324,0.00007086822,0.000009681804,0.00005294186,0.9978995,0.0004091418,0.0009516339],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6271112,"threshold_uncertainty_score":0.8944981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03349878272514946,"score_gpt":0.2920182549712189,"score_spread":0.2585194722460695,"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."}}