{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00230552,0.001763079,0.00146509,0.004652345,0.001039059,0.002882784,0.0037818,0.002307799,0.08718672],"category_scores_gemma":[0.01521392,0.0009762964,0.001277405,0.009845847,0.0006823325,0.001529134,0.00258331,0.002597274,0.1423889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001452835,"about_ca_system_score_gemma":0.003376754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02159673,"about_ca_topic_score_gemma":0.03892577,"domain_scores_codex":[0.9981166,0.000339495,0.0003225187,0.0005809065,0.0003912719,0.0002491878],"domain_scores_gemma":[0.9956469,0.001334395,0.0005178202,0.001145195,0.00107939,0.0002762406],"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":[0.00003759506,0.00001318863,0.0008424787,0.0006246147,0.00003425705,0.0000244586,0.00004379141,0.0002428988,0.0001005893,0.000604982,0.9956369,0.001794253],"study_design_scores_gemma":[0.0001749134,0.000008662199,0.00381226,0.0002811778,0.00003080793,0.00005730212,0.0001070529,0.0003015513,0.00028063,0.001610717,0.9932991,0.00003590402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007920319,0.0000271197,0.0001168894,0.00003467362,0.00001880383,0.00001346838,0.999183,0.000236773,0.0002900892],"genre_scores_gemma":[0.0002855392,0.00002997496,0.0005295458,0.00003676555,0.000006897365,0.0002172533,0.9983398,0.0001412742,0.0004129231],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08718672,"threshold_uncertainty_score":0.2916687,"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."}}