{"id":"W4398873838","doi":"10.7910/dvn/rnl8ka/mawglg","title":"Experiment_2_46.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":"Computer science; Mathematics","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":[0.00003167342,0.00027095,0.0002675868,0.00003550447,0.0001298256,0.0001180129,0.0005884829,0.00006314142,0.05547555],"category_scores_gemma":[0.000002547614,0.000280204,0.0001487039,0.0001218544,0.00006964541,0.0001229892,0.0003839353,0.0003175267,0.4285805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001649121,"about_ca_system_score_gemma":0.00006460199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001914564,"about_ca_topic_score_gemma":0.000001032991,"domain_scores_codex":[0.9989138,0.00002175588,0.000209909,0.0004322758,0.0001918294,0.0002303958],"domain_scores_gemma":[0.9986695,0.00001980842,0.0001504836,0.0009708068,0.00002709848,0.0001622776],"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":[0.000004272305,0.0001178916,0.000001841341,0.0000132064,0.00008124507,0.000002802607,0.00001256965,0.000001041547,0.00009589778,0.005173987,0.9940881,0.0004071093],"study_design_scores_gemma":[0.0002080735,0.00001207999,0.00000214999,0.00001522993,0.00007897745,1.983773e-7,0.00005920014,0.00001188967,0.0001748278,0.0005218523,0.9986212,0.0002943809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003676432,2.220143e-7,0.0002457753,0.00001538342,0.000179685,0.0002172599,0.9965699,0.00003502665,0.002733033],"genre_scores_gemma":[0.0001547449,0.000009469868,0.0001563583,0.0002657957,0.001187001,0.00007166746,0.9978148,0.00003002422,0.0003101086],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3731049,"threshold_uncertainty_score":0.999965,"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."}}