{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006770368,0.001060754,0.0008034892,0.00317686,0.0005273276,0.001428183,0.001137164,0.0006720786,0.09076697],"category_scores_gemma":[0.00274138,0.000480866,0.0005608302,0.00592607,0.0002197387,0.0008898616,0.0009976047,0.0009737145,0.07919756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009092777,"about_ca_system_score_gemma":0.001428969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02440632,"about_ca_topic_score_gemma":0.03860497,"domain_scores_codex":[0.999525,0.00004552339,0.00006558514,0.0001695311,0.000126829,0.0000676467],"domain_scores_gemma":[0.9987798,0.0002353151,0.000190928,0.0002588099,0.0004516846,0.00008338998],"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":[0.00009268751,0.00002170224,0.002421187,0.0007953251,0.00005394642,0.00004635903,0.00004824634,0.0004679209,0.0004166261,0.001498005,0.9858091,0.008328774],"study_design_scores_gemma":[0.00005172319,0.000007299939,0.006290373,0.0001373466,0.00001930851,0.00004450915,0.00005091241,0.0001002886,0.0002664924,0.0006346844,0.9923825,0.00001460445],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001370813,0.00003425096,0.00009359732,0.00001584332,0.00001264767,0.000004569618,0.9988416,0.00008695606,0.0007735186],"genre_scores_gemma":[0.000607237,0.00005379906,0.0004303504,0.00002512416,0.000004812296,0.00004232396,0.9975055,0.00007496434,0.001255887],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09076697,"threshold_uncertainty_score":0.3036457,"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."}}