{"id":"W4253811847","doi":"10.1121/10.0000671.2","title":"10.1121/10.0000671.2","year":2020,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Windsor","funders":"","keywords":"Context (archaeology); Biology; Vocal communication; Sequence (biology); Set (abstract data type); Evolutionary biology; Communication; Speech recognition; Psychology; Computer science; Paleontology; Genetics","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":[0.001487046,0.001597838,0.001306727,0.003358669,0.001016782,0.004310824,0.001896755,0.00227797,0.5613262],"category_scores_gemma":[0.00469234,0.0006429406,0.0009272869,0.005677647,0.0007217994,0.001425076,0.002985669,0.001534756,0.6312035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008558611,"about_ca_system_score_gemma":0.00139781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006745469,"about_ca_topic_score_gemma":0.005448481,"domain_scores_codex":[0.9988735,0.0001592704,0.0001119646,0.0003886178,0.0002292433,0.0002373998],"domain_scores_gemma":[0.9985995,0.0003617863,0.0001614721,0.0003364267,0.0002317904,0.0003090999],"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":[0.0005486105,0.0001401156,0.01332287,0.001215279,0.00009846198,0.0001251396,0.00005696618,0.0007336676,0.0008293762,0.000870553,0.9243935,0.05766559],"study_design_scores_gemma":[0.0002686128,0.00004755634,0.02191148,0.0003978173,0.00003920947,0.0001574469,0.00007803849,0.0009759487,0.0003564397,0.0011729,0.9745617,0.00003278024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001587698,0.0003786822,0.0004873115,0.0004669249,0.0003135617,0.00006400072,0.9827133,0.001686264,0.01230219],"genre_scores_gemma":[0.003653932,0.0003420948,0.0009541696,0.0002314209,0.00008225715,0.0001959269,0.9735321,0.0004885283,0.02051941],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4386738,"threshold_uncertainty_score":0.6257149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0180903924002201,"score_gpt":0.2715581817431741,"score_spread":0.253467789342954,"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."}}