{"id":"W4398999584","doi":"10.7910/dvn/u2hvb6/rdho4w","title":"A__1__20170509_025956.wav","year":2019,"lang":"hi","type":"dataset","venue":"Harvard Dataverse","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Liana; Replication (statistics); Abundance (ecology); Tropical forest; Tropical and subtropical dry broadleaf forests; Biology; Geography; Forestry; 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":[0.001256365,0.00258314,0.002146576,0.007051268,0.0009911394,0.004801944,0.003647825,0.002126352,0.42824],"category_scores_gemma":[0.01021271,0.00113207,0.001147352,0.01481967,0.0005712996,0.003122087,0.003650876,0.001623191,0.4364931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001628464,"about_ca_system_score_gemma":0.002774123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02586029,"about_ca_topic_score_gemma":0.03528169,"domain_scores_codex":[0.9988933,0.0001852662,0.0001349735,0.0003502316,0.0002256571,0.000210587],"domain_scores_gemma":[0.9961308,0.001160604,0.0004493702,0.0008918666,0.0008204167,0.0005469701],"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":[0.00003218867,0.000004740233,0.0002674878,0.0004946844,0.00001949013,0.00000538743,0.00001308387,0.00006032591,0.00003998456,0.0004111819,0.9972886,0.001362834],"study_design_scores_gemma":[0.0001116061,0.000007229359,0.001373526,0.0003337685,0.00002322923,0.00001288224,0.00003496222,0.00007899742,0.0001497489,0.001268828,0.9965824,0.00002297378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000144732,0.00003973517,0.00002772748,0.00003498287,0.00001157221,0.000003032342,0.9986004,0.0003405103,0.0009274745],"genre_scores_gemma":[0.0002489676,0.00008987912,0.0001406586,0.00007991293,0.00001177642,0.00005586872,0.9975991,0.0003668955,0.001406916],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5717601,"threshold_uncertainty_score":0.8155463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02687523217598189,"score_gpt":0.2495421812367258,"score_spread":0.2226669490607439,"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."}}