{"id":"W6904757882","doi":"10.14288/1.0367418","title":"[Navy Identification for William Ling]","year":2013,"lang":"en","type":"article","venue":"Open Collections","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Brother; Identification (biology); Front (military); Navy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006995568,0.0008098492,0.00041996,0.001567608,0.00287015,0.00195652,0.0007908944,0.001883993,0.3848098],"category_scores_gemma":[0.00373199,0.000269586,0.0002276868,0.001209541,0.0005117374,0.002227188,0.001558457,0.00179759,0.2323866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008003131,"about_ca_system_score_gemma":0.001451768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03140432,"about_ca_topic_score_gemma":0.05504841,"domain_scores_codex":[0.999571,0.0000645933,0.00003049036,0.00008065728,0.0001939817,0.0000592373],"domain_scores_gemma":[0.9987451,0.0001313197,0.00007514437,0.00009944481,0.000822378,0.0001266703],"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":[0.00001436125,0.000002647917,0.00009330516,0.00002073178,5.343292e-7,0.00005207444,0.0001181251,0.000007462957,0.00009503427,0.001298159,0.957518,0.04077963],"study_design_scores_gemma":[0.00000110883,0.000003219704,0.0002122604,0.00002512761,4.005926e-7,0.00007634475,0.00008902593,0.00001520433,0.00002991526,0.0001832939,0.9993613,0.000002749925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001837022,0.007340805,0.004087741,0.05505614,0.04663077,0.0002610665,0.005527286,0.003400242,0.8758589],"genre_scores_gemma":[0.004655382,0.001413682,0.001665483,0.00744077,0.002541806,0.00006722457,0.001606835,0.0003743463,0.9802344],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3848098,"threshold_uncertainty_score":0.8774941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03699152097584177,"score_gpt":0.2912016247557438,"score_spread":0.2542101037799021,"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."}}