{"id":"W6961032356","doi":"10.1371/journal.pone.0303960.s001","title":"S1 Data -","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Race (biology); Nationality; Athletes; Variable (mathematics); Entropy (arrow of time); Ethnic group","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005005589,0.001462566,0.001323443,0.00490359,0.001567014,0.002828296,0.003295016,0.002794272,0.5025328],"category_scores_gemma":[0.03227646,0.0008349677,0.001111097,0.007622274,0.0007503444,0.002253659,0.00289426,0.002818715,0.2355419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00131342,"about_ca_system_score_gemma":0.006021227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01394819,"about_ca_topic_score_gemma":0.02023636,"domain_scores_codex":[0.9974614,0.0004872556,0.0004940644,0.0005819641,0.0007375029,0.0002378615],"domain_scores_gemma":[0.9837865,0.007228748,0.0008968597,0.002079327,0.0054266,0.0005820151],"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":[0.000422355,0.000131845,0.00408686,0.001705901,0.00004312737,0.0001433904,0.0002121256,0.001312639,0.0005536436,0.002648138,0.9671096,0.02163033],"study_design_scores_gemma":[0.0002708531,0.00009658853,0.005100023,0.0009290579,0.00004048318,0.000101114,0.0006773921,0.001145361,0.0007212296,0.00577853,0.9850656,0.00007369214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005092375,0.0000585458,0.0008320521,0.0002019903,0.0001112715,0.0002273701,0.9948556,0.0004276581,0.002776236],"genre_scores_gemma":[0.004381292,0.0001702712,0.007720173,0.0005372976,0.00005326129,0.002434481,0.9745868,0.0006001716,0.009516251],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4974672,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1087786051794341,"score_gpt":0.2826639614371065,"score_spread":0.1738853562576724,"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."}}