{"id":"W4398962554","doi":"10.7910/dvn/u2hvb6/jvdhks","title":"A__1__20170510_180256.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; Abundance (ecology); Replication (statistics); Tropical and subtropical dry broadleaf forests; Tropical forest; Tropics; Biology; Ecology; Geography; Forestry","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":[0.001260971,0.00267813,0.002160799,0.006967338,0.0009992018,0.004477618,0.003709131,0.002285019,0.3705677],"category_scores_gemma":[0.009672007,0.001088618,0.001225209,0.01358459,0.0005844594,0.002786042,0.003554116,0.001644495,0.3851615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001619159,"about_ca_system_score_gemma":0.002897959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02511557,"about_ca_topic_score_gemma":0.03632377,"domain_scores_codex":[0.9989047,0.0001889013,0.0001313919,0.0003442878,0.0002260183,0.0002047603],"domain_scores_gemma":[0.9962772,0.001154688,0.0004312571,0.0008550879,0.0007617388,0.0005200327],"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":[0.00003726443,0.000005479118,0.0002961572,0.0006397596,0.00002356176,0.000006438848,0.00001493811,0.00007295117,0.0000520052,0.0004059498,0.9970579,0.001387604],"study_design_scores_gemma":[0.0001292729,0.00000832667,0.001504584,0.00035427,0.00002847187,0.00001479717,0.00003548167,0.00008883425,0.0001695888,0.001232779,0.9964092,0.00002423695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001655689,0.00004557979,0.00002729905,0.00003355063,0.00001057336,0.000003091192,0.9987333,0.0003308863,0.0007991625],"genre_scores_gemma":[0.0002404769,0.00009205548,0.0001392691,0.00007167784,0.00001013172,0.00005419725,0.9980282,0.000296288,0.001067596],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6294323,"threshold_uncertainty_score":0.8978088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02683273425438595,"score_gpt":0.249510076760376,"score_spread":0.22267734250599,"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."}}