{"id":"W4398941930","doi":"10.7910/dvn/u2hvb6/fk1g7r","title":"A__1__20170511_000556.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 and subtropical dry broadleaf forests; Tropical forest; Biology; Environmental science; Ecology","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":[0.001270875,0.00249621,0.002042286,0.006899482,0.0009749598,0.004561675,0.003549465,0.002085951,0.4209926],"category_scores_gemma":[0.01016258,0.001117561,0.001131399,0.0143746,0.0005575072,0.002978439,0.003494016,0.001617613,0.4240347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593627,"about_ca_system_score_gemma":0.002692596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02605758,"about_ca_topic_score_gemma":0.03653436,"domain_scores_codex":[0.9989123,0.0001840971,0.0001287455,0.0003390925,0.0002227127,0.0002130982],"domain_scores_gemma":[0.9960551,0.001191944,0.0004525567,0.0009146396,0.0008373537,0.0005483833],"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":[0.00002919827,0.000004684508,0.0002671837,0.000438919,0.00001779219,0.00000492252,0.00001190151,0.00005941786,0.00003499474,0.0003885174,0.9974259,0.001316534],"study_design_scores_gemma":[0.0001118724,0.000007059619,0.001413702,0.0003191974,0.00002200654,0.00001212079,0.0000340585,0.00008428096,0.0001471332,0.001229912,0.9965963,0.0000224085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000146962,0.00003645348,0.00002687906,0.00003521358,0.00001140547,0.000003001092,0.9986442,0.0003265633,0.0009016315],"genre_scores_gemma":[0.0002496329,0.00008534652,0.0001452152,0.00007725483,0.0000120104,0.00005764199,0.9975967,0.0003472797,0.001428967],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5790074,"threshold_uncertainty_score":0.8258838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02669022134480192,"score_gpt":0.2488959543996102,"score_spread":0.2222057330548083,"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."}}