{"id":"W6960594268","doi":"10.1371/journal.pone.0299946.s002","title":"S1 Checklist -","year":2024,"lang":"en","type":"article","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":"Abundance (ecology); Species richness; Checklist; Diversity (politics); Relative species abundance; Gut flora","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02764648,0.003472459,0.007776109,0.01756793,0.003129631,0.008102801,0.006255903,0.0048444,0.6831837],"category_scores_gemma":[0.2169399,0.004153914,0.008070087,0.01578915,0.001931562,0.006679898,0.005998883,0.006023391,0.09006516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00776407,"about_ca_system_score_gemma":0.03129084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01177112,"about_ca_topic_score_gemma":0.02186047,"domain_scores_codex":[0.9851906,0.00453086,0.006152988,0.001757144,0.001744679,0.0006237786],"domain_scores_gemma":[0.7931251,0.1341672,0.01416104,0.008014546,0.04774815,0.002783951],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001336586,0.000129519,0.0009018502,0.2048292,0.0005153303,0.0001987213,0.0008484639,0.0007886068,0.0001502435,0.00472693,0.749114,0.03646057],"study_design_scores_gemma":[0.007383408,0.0003236406,0.004386721,0.194033,0.001092886,0.0004384078,0.002991226,0.001257791,0.0003532477,0.0206769,0.7667195,0.0003432277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000833638,0.002700277,0.004865408,0.009006975,0.002490039,0.07489456,0.891592,0.001712857,0.01190415],"genre_scores_gemma":[0.004880665,0.004665127,0.05415237,0.01348739,0.0009306899,0.6730121,0.2065895,0.001474556,0.04080757],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9723535,"threshold_uncertainty_score":0.4519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03505306062191822,"score_gpt":0.2386871275044693,"score_spread":0.203634066882551,"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."}}