{"id":"W6944008942","doi":"10.17632/msvscjgtfp","title":"The active space of sperm whale codas: inter-click information for intra-unit communication. doi:10.1242/jeb.246442","year":2024,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Coda; Sperm whale; Ambient noise level; Hydrophone; Foraging; Noise (video); Animal communication; Animal 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":[],"consensus_categories":[],"category_scores_codex":[0.0003374738,0.0003671233,0.0002915824,0.001087669,0.0002586744,0.001123687,0.0004808589,0.0003342617,0.00392165],"category_scores_gemma":[0.001185898,0.0004387096,0.0003564947,0.0005971919,0.0003463805,0.0009494777,0.0008835702,0.0004007507,0.001316641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003344772,"about_ca_system_score_gemma":0.0002746288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001895562,"about_ca_topic_score_gemma":0.002858348,"domain_scores_codex":[0.9997962,0.00002051461,0.00001528369,0.00005895327,0.00008059347,0.00002849464],"domain_scores_gemma":[0.9991117,0.0002358286,0.0002909149,0.0001020749,0.0001282715,0.0001310675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007628541,0.0001790582,0.2960363,0.0004164055,0.0002471356,0.0005724197,0.0004250448,0.01163236,0.5045086,0.002675852,0.00329705,0.179247],"study_design_scores_gemma":[0.00002240537,0.0003081817,0.8822423,0.00007596848,0.0001526173,0.0007690302,0.000413495,0.07902449,0.029959,0.002592491,0.004377938,0.00006204306],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9407984,0.001202359,0.04719521,0.0002998165,0.00007206516,0.00002779181,0.00219062,0.0004591164,0.007754553],"genre_scores_gemma":[0.9929098,0.0001668736,0.004413424,0.00001669758,0.00002692202,0.00001107922,0.0007547199,0.00005619669,0.001644282],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.00392165,"threshold_uncertainty_score":0.01311928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06418579929065302,"score_gpt":0.3487861158907439,"score_spread":0.2846003166000909,"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."}}