{"id":"W4411657019","doi":"10.51847/fvnellv1pu","title":"10.51847/FVnellv1PU","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cochlear implant; Implant; Audiology; Computer science; Algorithm; Medicine; Surgery","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":[0.0004516063,0.001154513,0.0004675002,0.001646511,0.0009081798,0.001772981,0.0008390888,0.002636083,0.9392272],"category_scores_gemma":[0.0008472161,0.0003053056,0.0004202975,0.001017849,0.0005457649,0.001417282,0.001255533,0.0008889011,0.9200801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000634588,"about_ca_system_score_gemma":0.000319764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003484219,"about_ca_topic_score_gemma":0.002680474,"domain_scores_codex":[0.9997525,0.00002772804,0.00001801945,0.00008137336,0.00006688217,0.00005359542],"domain_scores_gemma":[0.9993646,0.0001863145,0.00002580439,0.00008858286,0.0002133252,0.0001213636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002337591,0.0001644374,0.0009869949,0.0002358299,0.00001756342,0.0002754946,0.00009800951,0.0005186459,0.007699413,0.003600473,0.1324394,0.85373],"study_design_scores_gemma":[0.00006377003,0.0001390908,0.001770781,0.000316092,0.00002157426,0.0007545553,0.0001677966,0.002398654,0.003728972,0.001730493,0.9888754,0.00003288102],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003393699,0.0009665992,0.008889435,0.000633725,0.0008106974,0.0001060324,0.00105271,0.002448257,0.9816989],"genre_scores_gemma":[0.007953096,0.0002922741,0.002499202,0.0003003192,0.00007765074,0.00004484934,0.0007157844,0.0003120968,0.9878048],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06077284,"threshold_uncertainty_score":0.08668506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541981553624295,"score_gpt":0.2204216989652162,"score_spread":0.2050018834289732,"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."}}