{"id":"W4398990877","doi":"10.7910/dvn/u2hvb6/8bmai0","title":"A__1__20170508_223556.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; Biology; Tropical forest; Tropics; Geography; Ecology; Forestry; Botany; 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":[0.001219002,0.003160673,0.002954079,0.005585575,0.001536113,0.005562556,0.005051467,0.003098386,0.3697245],"category_scores_gemma":[0.01005096,0.001257205,0.001433675,0.01005547,0.0007927563,0.002831148,0.003667693,0.00219387,0.4451251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453098,"about_ca_system_score_gemma":0.002704859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01514617,"about_ca_topic_score_gemma":0.02320982,"domain_scores_codex":[0.9988482,0.0001875088,0.0000980652,0.0004447647,0.0002313277,0.0001900674],"domain_scores_gemma":[0.9967127,0.001197343,0.0002898145,0.0007693221,0.0005178039,0.0005131074],"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":[0.00007057098,0.00001163494,0.0003951154,0.0008892001,0.0000401533,0.00001387942,0.00002071914,0.0001296202,0.000098125,0.0005313321,0.996334,0.001465743],"study_design_scores_gemma":[0.0002882654,0.00001550388,0.001642124,0.0003687158,0.00004828644,0.0000286667,0.00004155789,0.0002176207,0.0002946183,0.002097222,0.994919,0.00003843578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002931365,0.00006172811,0.00004121464,0.00004011958,0.00001244281,0.000003550253,0.9984475,0.0006091213,0.0007550229],"genre_scores_gemma":[0.0003323055,0.00008994914,0.0001711427,0.0000697028,0.000009573077,0.00005491799,0.9979698,0.0003850465,0.0009175618],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6302755,"threshold_uncertainty_score":0.8990116,"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."}}