{"id":"W4398871383","doi":"10.7910/dvn/rnl8ka/qigvdc","title":"Experiment_1A_90.csv","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003148104,0.0002747789,0.0002728072,0.00003623152,0.0001301926,0.0001208112,0.0005959403,0.00006419928,0.06234205],"category_scores_gemma":[0.000002495336,0.0002844015,0.0001507953,0.0001236078,0.00007137108,0.0001241904,0.000390026,0.0003227612,0.4345779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000169242,"about_ca_system_score_gemma":0.00006586658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002116962,"about_ca_topic_score_gemma":0.000001106389,"domain_scores_codex":[0.9989004,0.00002097728,0.0002125785,0.0004383751,0.0001943122,0.0002333313],"domain_scores_gemma":[0.998655,0.00001905056,0.0001526556,0.0009813713,0.00002723391,0.0001647487],"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":[0.000004339669,0.000119709,0.000002433932,0.00001328778,0.00008164684,0.000002815265,0.00001161875,0.000001072401,0.00009416109,0.00513808,0.9940965,0.0004342937],"study_design_scores_gemma":[0.000211326,0.00001248761,0.00000245229,0.00001545,0.00007995223,2.01831e-7,0.00006797844,0.00001253753,0.0001759872,0.0004969697,0.9986256,0.0002990869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000004606445,2.234799e-7,0.0002515857,0.00001807932,0.0001823842,0.0002214236,0.9967789,0.00003604601,0.002506751],"genre_scores_gemma":[0.0001494919,0.00001009087,0.0001651946,0.0002754632,0.001205903,0.00007267406,0.9977776,0.00003064158,0.0003129891],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3722359,"threshold_uncertainty_score":0.9999608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388955624005886,"score_gpt":0.2491207127606781,"score_spread":0.2352311565206193,"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."}}