{"id":"W6968573593","doi":"10.5281/zenodo.3858650","title":"Stenus (Nestus) brivioi Puthz 1972","year":2012,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fish <Actinopterygii>; White (mutation); Bottle neck","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009753255,0.0001199105,0.0001043608,0.0001761453,0.001524401,0.0009534173,0.001721237,0.00005089129,0.001744738],"category_scores_gemma":[0.0005314582,0.0001214045,0.00003886906,0.0005968349,0.00006997713,0.0009085539,0.001397038,0.000257976,0.01609433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000803426,"about_ca_system_score_gemma":0.000003077701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000207675,"about_ca_topic_score_gemma":1.24724e-7,"domain_scores_codex":[0.9982643,0.0003703842,0.0001964194,0.0003599038,0.0003687077,0.0004403073],"domain_scores_gemma":[0.9985617,0.00002923771,0.0001017396,0.0008252815,0.0002363603,0.0002456742],"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":[0.00001155825,0.0002547501,0.0001772892,0.00004125839,0.00002495874,0.000005785353,0.002546195,0.0000371891,0.002695001,0.1016774,0.153589,0.7389396],"study_design_scores_gemma":[0.0002034776,0.0000629638,0.01212964,0.00001018345,0.000004723505,0.0001104383,0.00006659459,0.002753472,0.0001537528,0.0001205327,0.9842335,0.0001507303],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02408145,0.0004378963,0.6565252,0.005053187,0.0007218111,0.0006071263,0.00009597375,0.004539386,0.307938],"genre_scores_gemma":[0.9936836,0.00003917131,0.003366818,0.0002313092,0.0002654534,3.923359e-8,0.0006773715,0.0004753327,0.001260912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9696022,"threshold_uncertainty_score":0.9997755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04149566955746612,"score_gpt":0.2574248331040019,"score_spread":0.2159291635465358,"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."}}