{"id":"W6891776194","doi":"10.48512/xcv8459164","title":"p3k14c version 2022.01","year":2021,"lang":"en","type":"dataset","venue":"The Digital Archeological Record (tDAR)","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Radiocarbon dating; Sample (material); Selection (genetic algorithm); Computer database; Period (music)","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":["metaresearch","metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001652123,0.0003732689,0.0005748083,0.00007036428,0.001282375,0.001069668,0.001721047,0.001048399,0.003808241],"category_scores_gemma":[0.01125602,0.0002477624,0.0004629558,0.0004936111,0.002181798,0.0003852369,0.0009657378,0.002096949,0.001163492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002357781,"about_ca_system_score_gemma":0.0007282321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002368504,"about_ca_topic_score_gemma":0.002202765,"domain_scores_codex":[0.9962102,0.0006900119,0.0004194227,0.0005860389,0.001195754,0.000898614],"domain_scores_gemma":[0.9957015,0.002675422,0.0002643725,0.0006538515,0.0002745345,0.0004303566],"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":[0.00004621362,0.0001374941,0.00003495368,0.00001641685,0.00005046433,0.00008956296,0.0003535348,2.39978e-7,0.000001243464,0.003476351,0.9829364,0.01285717],"study_design_scores_gemma":[0.0001237936,0.0001664525,0.00012654,0.00005725064,0.00003749816,0.000002112387,0.001194855,8.084635e-7,0.000001720575,0.05381685,0.9441321,0.0003400153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002143356,0.000386569,0.000006684386,0.01854855,0.001748347,0.0004044216,0.8847573,0.0001171378,0.09188759],"genre_scores_gemma":[0.007596283,0.008894135,0.00005608911,0.004411041,0.002242339,0.00003253548,0.9621873,0.00003217206,0.01454803],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07743003,"threshold_uncertainty_score":0.9999974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06105040301017875,"score_gpt":0.3556238644343383,"score_spread":0.2945734614241595,"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."}}