{"id":"W4398997545","doi":"10.7910/dvn/u2hvb6/vsyn73","title":"A__1__20170511_092656.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 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":[0.001247321,0.003165815,0.00284918,0.005354893,0.001459067,0.005426596,0.005037452,0.003071891,0.3615595],"category_scores_gemma":[0.00997436,0.001203516,0.001419828,0.009433459,0.0007878363,0.002792862,0.003686184,0.0021499,0.4525667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001406883,"about_ca_system_score_gemma":0.002532078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01405402,"about_ca_topic_score_gemma":0.0219892,"domain_scores_codex":[0.9988456,0.0001935332,0.00009468519,0.0004477142,0.0002316419,0.0001868664],"domain_scores_gemma":[0.9968324,0.001126877,0.0002719768,0.0007873324,0.0004810862,0.0005002962],"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":[0.00006879942,0.00001144912,0.0003810603,0.0007921128,0.00003788014,0.00001342668,0.00001892444,0.0001349128,0.00009371052,0.0005233911,0.9964226,0.001501813],"study_design_scores_gemma":[0.0002723681,0.00001573811,0.001544,0.0003360286,0.0000441344,0.00002900406,0.00003886636,0.0002381248,0.0003010277,0.00214964,0.9949941,0.00003700302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003103908,0.00006333934,0.0000459349,0.00004377253,0.00001315979,0.000003704947,0.9982951,0.0006953212,0.0008086293],"genre_scores_gemma":[0.0003403007,0.00008793649,0.0001793027,0.00007174766,0.000009784634,0.00005316103,0.9979149,0.0003972398,0.0009457924],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6384405,"threshold_uncertainty_score":0.9106579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03349878272514946,"score_gpt":0.2920182549712189,"score_spread":0.2585194722460695,"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."}}