{"id":"W6947186259","doi":"10.3535/jtr-1st-xng","title":"Alberta magna E.Mey.","year":2025,"lang":"en","type":"dataset","venue":"DiSSCo","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Table (database); Work (physics)","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":[0.0007385616,0.001475571,0.001838362,0.002870667,0.00069712,0.003905741,0.001638752,0.001067434,0.2550683],"category_scores_gemma":[0.004345336,0.0005525184,0.0004855759,0.007286824,0.0003125258,0.0008840414,0.001770947,0.001003368,0.3550744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009936994,"about_ca_system_score_gemma":0.001831095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05271579,"about_ca_topic_score_gemma":0.09041831,"domain_scores_codex":[0.999467,0.00007178925,0.00002166385,0.0002508692,0.0001289139,0.00005976695],"domain_scores_gemma":[0.9988672,0.0003037108,0.00009224135,0.0003103778,0.0002172076,0.000209276],"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":[0.0001126801,0.00001127178,0.0008324903,0.0004413807,0.00003052931,0.00002823255,0.00001998939,0.000530886,0.0002105093,0.00139972,0.9691944,0.02718787],"study_design_scores_gemma":[0.00003170445,0.000003632097,0.001509486,0.0001653496,0.00001503588,0.00002786171,0.00002546125,0.0003241162,0.0001285818,0.00195496,0.9958006,0.0000132353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003116521,0.0009402242,0.0005728615,0.0003286992,0.00008137176,0.000006171077,0.9781296,0.003512018,0.01611734],"genre_scores_gemma":[0.002722871,0.001420616,0.002546735,0.0002449412,0.00003372797,0.00005334334,0.9698371,0.001457523,0.02168314],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2550683,"threshold_uncertainty_score":0.8532886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005569127844241257,"score_gpt":0.2369224410062744,"score_spread":0.2313533131620331,"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."}}