{"id":"W6926462643","doi":"10.23708/c5n9cm","title":"Radiocarbon data table for date palm remains for Date Back","year":2025,"lang":"en","type":"dataset","venue":"IRD","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Radiocarbon dating; Palm; Table (database); Context (archaeology); Raw data","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006306321,0.0003943916,0.0008536272,0.0001514646,0.0001189596,0.00006238578,0.0009848335,0.0004377576,0.0002773896],"category_scores_gemma":[0.001338407,0.0002982735,0.000138778,0.0002209203,0.00006159981,0.0001044379,0.0004745834,0.0003517665,0.00003649266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003790053,"about_ca_system_score_gemma":0.0003537456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002334563,"about_ca_topic_score_gemma":0.0002813591,"domain_scores_codex":[0.9976912,0.00003294714,0.0004658047,0.001123379,0.0001778982,0.0005087981],"domain_scores_gemma":[0.9962345,0.0002353706,0.000221214,0.003028147,0.0001587404,0.0001219691],"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":[0.0005172379,0.00008723798,8.280427e-7,0.002956656,0.0002631424,0.00001036382,0.00000180535,1.492482e-7,0.003497073,0.00001972149,0.9899863,0.002659481],"study_design_scores_gemma":[0.001262857,0.0001717226,0.000002415873,0.0007197263,0.0008914016,0.00001470833,0.000004104198,0.00005676855,0.004758159,0.00001926301,0.991765,0.0003338613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001334916,0.001538165,0.00004547915,0.004511658,0.001408991,0.002410752,0.9897789,0.00003641776,0.0002563009],"genre_scores_gemma":[0.000009219752,0.001637851,0.003921672,0.002006949,0.002056571,0.00001389307,0.9760281,0.00003103098,0.01429464],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01403834,"threshold_uncertainty_score":0.999947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05553559411203335,"score_gpt":0.3311022866083636,"score_spread":0.2755666924963303,"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."}}