{"id":"W4398934656","doi":"10.7910/dvn/u2hvb6/2mchfc","title":"A__1__20170508_203456.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; Forestry; Botany; Geography; 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":[0.00118853,0.003065587,0.002870691,0.005662856,0.001442251,0.005396773,0.004751931,0.00307366,0.3574519],"category_scores_gemma":[0.009899558,0.001202143,0.001373514,0.0102623,0.0007538512,0.002761164,0.003593183,0.002112195,0.4253604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481423,"about_ca_system_score_gemma":0.002736699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01581698,"about_ca_topic_score_gemma":0.02394488,"domain_scores_codex":[0.9988542,0.0001945002,0.0001030405,0.0004352596,0.0002308844,0.0001821625],"domain_scores_gemma":[0.9967308,0.001205315,0.0002916603,0.0007458915,0.0005271224,0.0004991678],"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":[0.00006776564,0.0000109805,0.0003792788,0.0009436446,0.00003796551,0.00001384842,0.0000210751,0.0001281596,0.00009476984,0.0005506782,0.996219,0.001532973],"study_design_scores_gemma":[0.0002440462,0.00001420132,0.001541276,0.0003703968,0.00004436167,0.0000263682,0.00003970946,0.0001957629,0.0002659201,0.001892205,0.9953309,0.00003472023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002762532,0.00006489421,0.00003952007,0.00003969292,0.00001204013,0.000003526691,0.9985064,0.0005325528,0.0007738068],"genre_scores_gemma":[0.0003092496,0.00009334455,0.0001635486,0.00006787082,0.000008911038,0.00005355641,0.9980906,0.0003282549,0.0008846302],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6425481,"threshold_uncertainty_score":0.9165168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03386913602549678,"score_gpt":0.2923517705940866,"score_spread":0.2584826345685898,"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."}}