{"id":"W6893371962","doi":"10.5281/zenodo.15462306","title":"Analysing vocal complexity in relation to sociality in orcas of British Columbia, supporting data","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sociality; Relation (database); Sample (material); Sound (geography); Sound production","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004190525,0.0005951472,0.0005386057,0.004275303,0.002147829,0.00137497,0.001180729,0.0006043012,0.01489598],"category_scores_gemma":[0.002866829,0.0002945831,0.0002393612,0.005656767,0.000802045,0.000317137,0.001368763,0.0005166393,0.004275015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006096839,"about_ca_system_score_gemma":0.009425696,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9624483,"about_ca_topic_score_gemma":0.9890854,"domain_scores_codex":[0.9992855,0.00004121085,0.00003941671,0.0001882673,0.0002085852,0.0002370408],"domain_scores_gemma":[0.9971784,0.000301106,0.0002360749,0.0002639581,0.001656882,0.0003635781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007196227,0.000185278,0.6272458,0.001524626,0.0002899707,0.001605745,0.01250762,0.00213304,0.01618409,0.001381083,0.1892788,0.1469444],"study_design_scores_gemma":[0.00001620814,0.00001375994,0.9464196,0.0002292215,0.00004581764,0.0001612681,0.00628283,0.0005405714,0.0004776585,0.0001806026,0.04557456,0.00005789214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.6204633,0.0007761254,0.001105915,0.0003439847,0.00004250495,0.0002302936,0.3545192,0.0002840028,0.0222346],"genre_scores_gemma":[0.6907253,0.0006360905,0.003403101,0.0002642536,0.00002443003,0.0006385383,0.2794836,0.0003150088,0.02450959],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.0375517,"threshold_uncertainty_score":0.07554567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1287178833140065,"score_gpt":0.3695341552370393,"score_spread":0.2408162719230328,"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."}}