{"id":"W1979293239","doi":"10.1080/09524622.2000.9753451","title":"A FIELD TEST OF ‘SYRINX’ SOUND ANALYSIS SOFTWARE IN INTERACTIVE PLAYBACK","year":2000,"lang":"en","type":"article","venue":"Bioacoustics","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Syrinx (medicine); Computer science; Software; Microphone; Timer; Scrolling; Field (mathematics); Human–computer interaction; Speech recognition; Computer hardware; Computer graphics (images); Telecommunications; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.003961644,0.0009642035,0.0004730582,0.001041824,0.0006513505,0.000624745,0.001974416,0.001315119,0.006265349],"category_scores_gemma":[0.01123705,0.0005060968,0.0004175734,0.0003031335,0.001043696,0.001723321,0.001411166,0.0007792591,0.001233987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000419946,"about_ca_system_score_gemma":0.000495319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002645714,"about_ca_topic_score_gemma":0.001464495,"domain_scores_codex":[0.9969669,0.0008924279,0.0002879415,0.000652855,0.000824674,0.0003751402],"domain_scores_gemma":[0.9782293,0.01570326,0.0005923053,0.001767108,0.002513129,0.001194859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01592773,0.0111955,0.01099528,0.0005543657,0.0001448392,0.001186864,0.004433596,0.002362464,0.8829056,0.001460673,0.001982269,0.06685071],"study_design_scores_gemma":[0.001303009,0.1058828,0.07346255,0.0001659163,0.0002648663,0.001622772,0.0017645,0.02523428,0.775843,0.0008166311,0.0134733,0.000166536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700515,0.0001027467,0.02453476,0.0001709737,0.00007567443,0.0005762724,0.0003528252,0.001063975,0.003071318],"genre_scores_gemma":[0.9469664,0.0001397306,0.04173713,0.0002696277,0.0000601502,0.001721432,0.001282366,0.0005729985,0.007250163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006265349,"threshold_uncertainty_score":0.02095968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417859371262168,"score_gpt":0.2916420266863186,"score_spread":0.2774634329736969,"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."}}