{"id":"W4398810492","doi":"10.7910/dvn/u2hvb6/cwmuay","title":"A__1__20170511_040756.wav","year":2019,"lang":"zh","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 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":[0.001106457,0.002572128,0.001984852,0.007084579,0.000980642,0.004511696,0.00341712,0.002187164,0.3611056],"category_scores_gemma":[0.009343334,0.001026446,0.001179857,0.01355357,0.0005810651,0.002845968,0.003698949,0.001578568,0.3703116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620075,"about_ca_system_score_gemma":0.002771963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0246977,"about_ca_topic_score_gemma":0.03560317,"domain_scores_codex":[0.9989727,0.0001700472,0.000123518,0.0003141208,0.0002240138,0.0001956449],"domain_scores_gemma":[0.9967063,0.001037737,0.0003879015,0.0007243347,0.0006957357,0.0004479161],"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":[0.0000353734,0.000004896316,0.0003146027,0.0005837338,0.00002157309,0.000007355591,0.00001607608,0.00007887473,0.00005371147,0.0004783936,0.9969676,0.00143781],"study_design_scores_gemma":[0.0001233614,0.00000729613,0.0013457,0.0003274172,0.00002359235,0.00001593103,0.00003628728,0.00009022636,0.0001587486,0.001328232,0.996521,0.00002228795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001786511,0.00004413449,0.00002818556,0.00004033545,0.00001098143,0.000003091195,0.998679,0.0003632692,0.0008131029],"genre_scores_gemma":[0.0002765456,0.0001002071,0.0001402516,0.00007986154,0.00001038395,0.0000505659,0.9978563,0.0003322896,0.001153571],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6388944,"threshold_uncertainty_score":0.9113054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02818263533135516,"score_gpt":0.2510392454830186,"score_spread":0.2228566101516635,"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."}}