{"id":"W4398936890","doi":"10.7910/dvn/u2hvb6/ranwxg","title":"A__1__20170510_144456.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); Environmental science; Biology; 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":[0.001323275,0.002633939,0.002150162,0.007424426,0.0009998354,0.004718224,0.00363259,0.002266026,0.3913568],"category_scores_gemma":[0.01051941,0.001100345,0.001184283,0.0148163,0.0005994381,0.002957748,0.003681612,0.001628806,0.3969192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642337,"about_ca_system_score_gemma":0.002978139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02413809,"about_ca_topic_score_gemma":0.03400733,"domain_scores_codex":[0.9988443,0.0002020039,0.0001475066,0.0003583318,0.0002384522,0.0002092929],"domain_scores_gemma":[0.9959943,0.001236258,0.0004798133,0.0009068841,0.0008245031,0.0005582465],"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":[0.0000374134,0.000005241233,0.0002932239,0.0006751058,0.00002330442,0.000006328613,0.0000156449,0.00006760532,0.00005003035,0.0004406779,0.9968702,0.001515163],"study_design_scores_gemma":[0.0001157553,0.000007577126,0.001376955,0.0003776395,0.00002634067,0.00001367294,0.00003489622,0.00007519498,0.000152995,0.001172053,0.9966242,0.00002268031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001573155,0.00004822982,0.00002743498,0.00003513931,0.00001134068,0.000003182118,0.9986402,0.0003190581,0.0008997219],"genre_scores_gemma":[0.0002441723,0.0001010904,0.0001443853,0.00007602963,0.00001059573,0.00005653282,0.9978766,0.0003204324,0.001170106],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6086432,"threshold_uncertainty_score":0.8681557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0272349468012639,"score_gpt":0.2493955341557203,"score_spread":0.2221605873544564,"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."}}