{"id":"W6930391635","doi":"10.5281/zenodo.12217741","title":"Lost Love Back by Aghori Baba +91–8094774404 UK,USA,CANADA","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wife; Miracle; MAGIC (telescope); Caster; Mistake; Love story","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004243582,0.0004008905,0.0003297194,0.0001519231,0.0007400522,0.001264164,0.002083899,0.0001765687,0.5033212],"category_scores_gemma":[0.0001017268,0.0003789523,0.0001173114,0.0007551382,0.0002751462,0.0002132856,0.003155615,0.0006943755,0.7173503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009764084,"about_ca_system_score_gemma":0.000009788258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05705599,"about_ca_topic_score_gemma":0.004697169,"domain_scores_codex":[0.9966714,0.0002714573,0.0004101942,0.0009706775,0.0009944112,0.0006818778],"domain_scores_gemma":[0.9984707,0.00002099757,0.0001332767,0.0009252601,0.00007585467,0.0003739013],"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":[0.0000152715,0.00006163022,0.000004592151,0.00009222337,0.0001022276,0.00005446639,0.00009401044,0.00002941956,0.000296573,0.000004246754,0.9974605,0.001784842],"study_design_scores_gemma":[0.0001728776,0.00009644916,0.00003906769,0.0000403074,0.0001008597,0.00004575751,0.00009257585,0.00003270698,0.0001277138,0.00004686046,0.9987662,0.0004385681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004053579,0.00007506659,0.00006504612,0.001028108,0.0003185996,0.0003235754,0.9228035,0.00008185677,0.07489894],"genre_scores_gemma":[0.003242795,0.0002014303,0.00002491223,0.0004700761,0.0001949535,2.168766e-8,0.9645077,0.001064031,0.03029409],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.214029,"threshold_uncertainty_score":0.9998662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292995301136681,"score_gpt":0.2056691804485631,"score_spread":0.1927392274371963,"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."}}