{"id":"W6992887329","doi":"","title":"Mike Benevides - July 27, 2022","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Joins; Work (physics); Action (physics)","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":["insufficient_payload"],"category_scores_codex":[0.0005892697,0.001098849,0.0005195274,0.0006817089,0.005029357,0.003720468,0.0009780015,0.003312465,0.8074477],"category_scores_gemma":[0.001425463,0.0006868597,0.0005255265,0.0004679918,0.0006256385,0.001338472,0.003085648,0.003052311,0.6308435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002504252,"about_ca_system_score_gemma":0.004758229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1138808,"about_ca_topic_score_gemma":0.5009936,"domain_scores_codex":[0.9994537,0.00003144488,0.00001041527,0.00006050775,0.0001826571,0.0002612538],"domain_scores_gemma":[0.9983783,0.00005954383,0.00002571477,0.00005569682,0.0004600184,0.001020713],"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":[0.00001444779,0.000008128682,0.00005420385,0.00001076711,5.741163e-7,0.00002891484,0.00001356723,0.000009953525,0.00005303297,0.000166276,0.9960407,0.00359943],"study_design_scores_gemma":[0.000006337162,0.00001018059,0.0005890484,0.0000315596,0.000001051438,0.00002292813,0.0001827395,0.000019975,0.00005169807,0.00007086866,0.9990073,0.00000645188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007567483,0.0005862433,0.0001571461,0.006337623,0.006540042,0.0001440225,0.002131696,0.0006935094,0.982653],"genre_scores_gemma":[0.0003959647,0.00006861791,0.00002211084,0.0003912653,0.00005642359,0.000008799424,0.0001644591,0.00005800734,0.9988344],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1925523,"threshold_uncertainty_score":0.2746525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018814393330659,"score_gpt":0.2061375859651786,"score_spread":0.195949442031872,"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."}}