{"id":"W4398832524","doi":"10.7910/dvn/u2hvb6/zuvtoz","title":"A__1__20170509_125356.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":[0.001216896,0.003144596,0.002916689,0.005546355,0.001500901,0.005577103,0.005044801,0.003078273,0.3822747],"category_scores_gemma":[0.0100597,0.001269293,0.001424809,0.01002603,0.0007812522,0.002848371,0.003687821,0.002146059,0.4618113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00144332,"about_ca_system_score_gemma":0.002603867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01472297,"about_ca_topic_score_gemma":0.02227611,"domain_scores_codex":[0.9988607,0.0001881971,0.00009730049,0.0004395393,0.0002274071,0.0001868924],"domain_scores_gemma":[0.996778,0.00117492,0.0002811317,0.0007698826,0.0004967869,0.0004993375],"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":[0.00007030393,0.00001144562,0.0003706132,0.0008529258,0.00003861508,0.00001304115,0.00001964509,0.0001280678,0.00009492936,0.0005239211,0.9963972,0.001479442],"study_design_scores_gemma":[0.0002876311,0.00001569906,0.001552715,0.0003575862,0.00004594257,0.00002783549,0.00003955903,0.0002194025,0.0002921955,0.002110764,0.9950132,0.00003736395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002911334,0.00006087674,0.00004244741,0.00004014194,0.00001234535,0.000003574006,0.9983906,0.0006378116,0.0007830378],"genre_scores_gemma":[0.0003327289,0.00008917607,0.0001715309,0.0000700711,0.000009715351,0.00005474329,0.9979279,0.0004024613,0.0009416185],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6177253,"threshold_uncertainty_score":0.8811101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03342348266309023,"score_gpt":0.2918622356425013,"score_spread":0.258438752979411,"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."}}