{"id":"W4393802007","doi":"10.5281/zenodo.10312027","title":"Mahatma Gandhi","year":2015,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Indian History and Philosophy","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005285291,0.0002521156,0.0002464916,0.000329438,0.003506454,0.001333876,0.0013568,0.0001361114,0.1767713],"category_scores_gemma":[0.0001996724,0.0002575566,0.00008981692,0.000099291,0.0004114136,0.0002380857,0.0007036921,0.0005620621,0.1003237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002203855,"about_ca_system_score_gemma":0.000009249812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000072928,"about_ca_topic_score_gemma":0.000005752272,"domain_scores_codex":[0.9981776,0.0002952895,0.0002758625,0.0004269736,0.0004608265,0.0003634432],"domain_scores_gemma":[0.9981859,0.00001530075,0.0001711252,0.0006898022,0.0007117187,0.0002261677],"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":[0.00004134326,0.00009614532,4.808052e-9,0.0001218834,0.00004686052,0.0000345226,0.005427439,0.000001026146,0.000001969428,0.006951431,0.985085,0.002192446],"study_design_scores_gemma":[0.0002717259,0.0002312703,2.900302e-7,0.00004397184,0.0000396039,0.00004500273,0.0001934777,0.000001535252,0.000001687553,0.0007427945,0.9981191,0.0003095956],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001459236,0.0001373672,0.000002435728,0.0001891833,0.000595657,0.0002292089,0.7442501,0.0003200815,0.2542613],"genre_scores_gemma":[0.0003274377,0.00006103209,0.000005497585,0.0003561834,0.002232134,3.459063e-8,0.9882647,0.001145222,0.007607747],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2466536,"threshold_uncertainty_score":0.9999877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08541150098131807,"score_gpt":0.2383405824649636,"score_spread":0.1529290814836455,"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."}}