{"id":"W4398935802","doi":"10.7910/dvn/u2hvb6/jirsrm","title":"A__1__20170510_042856.wav","year":2019,"lang":"zh","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; Tropics; Biology; Forestry; Geography; Environmental science; 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":[0.001074706,0.003046531,0.0026222,0.005312792,0.001415914,0.005172705,0.004583946,0.002915216,0.3456847],"category_scores_gemma":[0.008854876,0.001147227,0.001379766,0.009262236,0.0007828343,0.002689043,0.003822086,0.002015266,0.4155986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001419394,"about_ca_system_score_gemma":0.002515964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0139785,"about_ca_topic_score_gemma":0.02207365,"domain_scores_codex":[0.9989837,0.00016641,0.00008523793,0.0003766943,0.0002216291,0.0001663353],"domain_scores_gemma":[0.9974204,0.0009378841,0.0002351143,0.0005932323,0.0004037068,0.0004097531],"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":[0.00007526006,0.00001097425,0.0004491914,0.0009425959,0.00004155443,0.00001698497,0.00002447649,0.0001565,0.0001230547,0.0006555095,0.9957275,0.001776393],"study_design_scores_gemma":[0.0002929694,0.00001553383,0.001613902,0.0003363955,0.00004385989,0.00003313981,0.00004090929,0.000234681,0.0002939175,0.002151901,0.9949074,0.00003526161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003896172,0.00007377836,0.00004891295,0.00005041992,0.00001364841,0.000003981852,0.9981737,0.0007324719,0.0008640771],"genre_scores_gemma":[0.000431356,0.0001099701,0.0001903592,0.00007653525,0.000009956671,0.00005533318,0.9977304,0.0004232463,0.000972859],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6543152,"threshold_uncertainty_score":0.9333013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03483524915110823,"score_gpt":0.2941257348321931,"score_spread":0.2592904856810848,"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."}}