{"id":"W4394354638","doi":"10.6084/m9.figshare.22613678","title":"Additional file 1 of Sourcing celadons with EDXRF and LA-ICP-MS from the Xunyang city burial complex, 202 B.C–907 A.D.","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Waterloo","funders":"","keywords":"Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001096331,0.001021898,0.0009938206,0.001893273,0.0007516243,0.001635675,0.001770867,0.001201995,0.4131517],"category_scores_gemma":[0.00699655,0.0005167666,0.0006439255,0.00449651,0.0002684002,0.001490225,0.001172354,0.000956375,0.1368393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190088,"about_ca_system_score_gemma":0.001903086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02411661,"about_ca_topic_score_gemma":0.04351901,"domain_scores_codex":[0.9994635,0.00008204161,0.000085892,0.0001797401,0.0001063025,0.00008252114],"domain_scores_gemma":[0.9971225,0.001390578,0.000218327,0.0003967332,0.0007445256,0.0001273178],"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":[0.0000824074,0.00002946073,0.0022203,0.001137647,0.00002344015,0.00003244624,0.00004404712,0.0002485666,0.00008583572,0.0004806312,0.9921631,0.003452201],"study_design_scores_gemma":[0.0004811647,0.00003068696,0.01352385,0.0007155774,0.00004680596,0.00006537056,0.0002842903,0.0003487349,0.0003213543,0.001837041,0.9823052,0.00003994624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005139259,0.00000765633,0.00003352508,0.00001622833,0.000004474514,0.000006865166,0.9995769,0.00004703038,0.0002560036],"genre_scores_gemma":[0.0006901143,0.00003004402,0.0004069714,0.00004519652,0.000006066758,0.0001393414,0.9973138,0.00008188194,0.00128659],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4131517,"threshold_uncertainty_score":0.837068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08301277764568767,"score_gpt":0.2597962424732574,"score_spread":0.1767834648275697,"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."}}