{"id":"W4248200232","doi":"10.3138/jmvfh.5.s1.001","title":"Acknowledgements","year":2019,"lang":"en","type":"article","venue":"Journal of Military Veteran and Family Health","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004407271,0.000618395,0.0009764252,0.002204075,0.001099702,0.001627998,0.002133039,0.0005791981,0.3437153],"category_scores_gemma":[0.03148388,0.0002297738,0.0006170139,0.001328908,0.0006767681,0.0007614064,0.002948688,0.001301356,0.1526648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001922977,"about_ca_system_score_gemma":0.004797329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01320164,"about_ca_topic_score_gemma":0.01609669,"domain_scores_codex":[0.9956863,0.001018707,0.0004190975,0.0004467105,0.002103812,0.0003253632],"domain_scores_gemma":[0.9718977,0.003658554,0.0008250232,0.00209165,0.01796635,0.003560669],"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":[0.0007032158,0.00008766627,0.003291485,0.0009793343,0.00003161676,0.0006881992,0.0008795062,0.0006239345,0.01287394,0.01020596,0.8578738,0.1117614],"study_design_scores_gemma":[0.00007181211,0.00003949581,0.004463685,0.0003593503,0.00002475656,0.0006333675,0.000784091,0.0003242119,0.002010325,0.002830059,0.9884333,0.00002563447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03012663,0.01060187,0.05971883,0.07650906,0.09479324,0.006131144,0.2477003,0.006438498,0.4679804],"genre_scores_gemma":[0.1284725,0.006245999,0.04434274,0.02268994,0.01051068,0.005930363,0.09797199,0.002523548,0.6813122],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6562847,"threshold_uncertainty_score":0.9361105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03141352285976193,"score_gpt":0.2931263346130675,"score_spread":0.2617128117533055,"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."}}