{"id":"W4398990967","doi":"10.7910/dvn/u2hvb6/wvxdpo","title":"A__1__20170509_040556.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":[0.001039761,0.002943908,0.002606958,0.005387896,0.001407992,0.005174447,0.004492831,0.002853386,0.3430258],"category_scores_gemma":[0.008719796,0.001117026,0.001381225,0.009644467,0.0007680331,0.002678951,0.003773704,0.002002888,0.4047953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424624,"about_ca_system_score_gemma":0.002571472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01459198,"about_ca_topic_score_gemma":0.02300056,"domain_scores_codex":[0.9990005,0.0001605802,0.00008711558,0.0003687082,0.0002181751,0.0001648959],"domain_scores_gemma":[0.9974355,0.0009305515,0.000241033,0.0005779502,0.0004069153,0.0004080691],"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":[0.00007807655,0.00001083393,0.0004798785,0.001002343,0.00004397225,0.00001790965,0.00002545236,0.0001561225,0.0001269192,0.0006936452,0.995563,0.001801888],"study_design_scores_gemma":[0.0002853821,0.00001491454,0.001692305,0.0003447146,0.00004561244,0.00003278962,0.00004107878,0.0002156243,0.0002821289,0.002127529,0.9948832,0.00003476079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003783006,0.00007288195,0.00004494749,0.00004848368,0.00001313091,0.00000372875,0.9982735,0.000654,0.0008514456],"genre_scores_gemma":[0.0004344197,0.0001132934,0.00018218,0.00007468714,0.000009743581,0.00005319067,0.9977657,0.0003954687,0.0009714179],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6569742,"threshold_uncertainty_score":0.937094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03483704673851318,"score_gpt":0.2941204866650675,"score_spread":0.2592834399265543,"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."}}