{"id":"W7077042165","doi":"10.5376/tgg.2024.15.0017","title":"Spread and Adaptation of <i>Triticeae</i> Crops: From Ancient Origins to Global Distribution","year":2024,"lang":"en","type":"article","venue":"Triticeae Genomics and Genetics","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Triticeae; Domestication; Adaptation (eye); Agriculture; Agricultural productivity; Climate change","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002578572,0.0001818085,0.0002137967,0.00003781623,0.0001163416,0.0002342913,0.0002819652,0.0001136879,0.000007217195],"category_scores_gemma":[0.00008453814,0.000190583,0.0000472629,0.0003204643,0.00009485748,0.00009290394,0.0002646339,0.00007972448,0.00001019446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009777905,"about_ca_system_score_gemma":0.0001145211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004163502,"about_ca_topic_score_gemma":0.00006122242,"domain_scores_codex":[0.9985826,0.00003500535,0.0003608406,0.0005297501,0.0001858075,0.0003060037],"domain_scores_gemma":[0.9991212,0.0001229911,0.00006118728,0.0003277955,0.00016824,0.0001985672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008831588,0.0003187604,0.001533191,0.0008142079,0.0002110555,0.0001262955,0.004087599,0.006130763,0.4985024,0.3314076,0.001618858,0.155161],"study_design_scores_gemma":[0.0009880692,0.0004372995,0.02739907,0.0002187803,0.0001635653,0.00007925427,0.0002189942,0.2728191,0.01350761,0.02977232,0.653678,0.0007179695],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7860276,0.01189484,0.1992052,0.001228173,0.0003395904,0.0002079861,0.0004658061,0.00005745798,0.0005733345],"genre_scores_gemma":[0.9728023,0.0009332297,0.02583755,0.0001283019,0.0001372276,0.000009033662,0.00007419763,0.000004444726,0.00007375922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6520591,"threshold_uncertainty_score":0.7771748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01646464323361069,"score_gpt":0.235637545187881,"score_spread":0.2191729019542703,"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."}}