{"id":"W4398941144","doi":"10.7910/dvn/u2hvb6/konx13","title":"A__1__20170509_112556.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":[0.001215642,0.003209951,0.002991008,0.005564307,0.001542729,0.005659814,0.005141645,0.003147463,0.3775562],"category_scores_gemma":[0.01014019,0.001258265,0.00145183,0.01020035,0.0008028315,0.002890327,0.003718007,0.002210428,0.4583761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464017,"about_ca_system_score_gemma":0.002657736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01493026,"about_ca_topic_score_gemma":0.02276708,"domain_scores_codex":[0.9988405,0.0001913063,0.0000983775,0.0004481194,0.0002318043,0.0001899479],"domain_scores_gemma":[0.9967759,0.001166605,0.0002817275,0.0007688252,0.0005016921,0.0005052597],"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":[0.00006937426,0.00001133712,0.0003679301,0.0008695398,0.0000386914,0.00001326517,0.00001981739,0.0001277205,0.00009411319,0.0005304649,0.9964131,0.001444695],"study_design_scores_gemma":[0.0002835674,0.00001550537,0.001543654,0.0003642395,0.00004684011,0.00002823206,0.000040595,0.0002172771,0.0002857533,0.002176022,0.9949607,0.00003765522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000028515,0.0000635932,0.00004152336,0.00004112688,0.00001280131,0.000003552241,0.9984067,0.0006234542,0.0007787379],"genre_scores_gemma":[0.0003302686,0.00009229741,0.0001723997,0.00007175869,0.000009895511,0.00005474859,0.9979466,0.0003927381,0.0009293092],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6224438,"threshold_uncertainty_score":0.8878406,"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."}}