{"id":"W7095734538","doi":"","title":"SUBLETHAL EFFECTS OF DIETARY SELENIUM EXPOSURE ON JUVENILE FISHES","year":2016,"lang":"en","type":"article","venue":"","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Copying; Work (physics); Juvenile; Permission; Degree (music)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002115232,0.0000985666,0.000156844,0.00007135528,0.00005852435,0.00003637554,0.0004557234,0.00004215051,0.00004150632],"category_scores_gemma":[0.0001115037,0.00005866542,0.00005192511,0.0001228674,0.00002832898,0.0006282051,0.0001195888,0.00004427004,0.00007235149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001246336,"about_ca_system_score_gemma":0.00003638116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003019322,"about_ca_topic_score_gemma":6.012054e-7,"domain_scores_codex":[0.9991323,0.00002560123,0.0002956844,0.0001443896,0.0002350863,0.000166906],"domain_scores_gemma":[0.999042,0.0003305037,0.0001645138,0.0003297201,0.00008290599,0.00005033627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002277882,0.0005261337,0.001964768,0.002641405,0.00007870515,0.000009624888,0.01263063,0.00008067291,0.01746457,0.2247023,0.05496476,0.6849137],"study_design_scores_gemma":[0.002475922,0.001358198,0.01078121,0.001488787,0.00001776746,0.00003168182,0.000110165,0.05793505,0.8807077,0.03511471,0.009096563,0.0008821742],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1024742,0.00005096772,0.868053,0.0007942133,0.0005217545,0.0001374763,9.901281e-7,0.0002516781,0.02771568],"genre_scores_gemma":[0.9728495,0.000005505832,0.02548252,0.0003768106,0.00004309195,0.000003502238,2.941119e-7,0.00000436051,0.001234415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8703753,"threshold_uncertainty_score":0.2392306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164663526482185,"score_gpt":0.2182630256308494,"score_spread":0.2066163903660275,"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."}}