{"id":"W7077072247","doi":"10.5376/tgg.2024.15.0030","title":"Development and Utilization of Male Sterile Lines in Wheat","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":"Sterility; Agriculture; Hybrid seed; Purebred; Crop; Unavailability","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":[0.0001237738,0.00005888556,0.00008025218,0.00004317745,0.00002437162,0.00005612966,0.00008596964,0.00003892064,0.00000428009],"category_scores_gemma":[0.000008319887,0.00005852223,0.000007414947,0.00009395766,0.00002543771,0.00003382104,0.0001205393,0.0000353966,9.8391e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007258755,"about_ca_system_score_gemma":0.00004403855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002273895,"about_ca_topic_score_gemma":0.000009672937,"domain_scores_codex":[0.9995272,0.000008356497,0.000159185,0.000168518,0.00004118513,0.00009561749],"domain_scores_gemma":[0.999808,0.00002912148,0.00001522051,0.00009213074,0.00002609142,0.00002946638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002398769,0.0001571831,0.009634742,0.002847742,0.00006043559,0.0001019671,0.02119772,0.001085281,0.1952263,0.03692011,0.0001974457,0.7325472],"study_design_scores_gemma":[0.0009296591,0.0001472754,0.03222144,0.0003437599,0.00002498892,0.0002001221,0.0007620425,0.3496134,0.1598929,0.01750334,0.4377393,0.0006217327],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797484,0.007427853,0.011324,0.0004142157,0.0000823481,0.00006689339,0.000002073158,0.00001314572,0.0009210956],"genre_scores_gemma":[0.9603314,0.001096132,0.03815215,0.00003535525,0.00002221602,0.000003116314,0.000002847892,0.000001760437,0.0003550205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7319254,"threshold_uncertainty_score":0.2386467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03784769176945412,"score_gpt":0.2528055053336194,"score_spread":0.2149578135641653,"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."}}