{"id":"W2923256037","doi":"10.3390/ijms20061411","title":"Map-Based Cloning, Phylogenetic, and Microsynteny Analyses of ZmMs20 Gene Regulating Male Fertility in Maize","year":2019,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics and Developmental Biology, Chinese Academy of Sciences; Beijing Talents Fund; National Key Research and Development Program of China; Fundamental Research Funds for the Central Universities; Ministry of Science and Technology of the People's Republic of China; Chinese Academy of Sciences; Institute of Genetics; National Natural Science Foundation of China","keywords":"Biology; Genetics; Sterility; Gene; Mutant; Hybrid seed; Germplasm; Hybrid; Botany","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00009019735,0.0003438737,0.000180141,0.0009840019,0.0001875102,0.000155045,0.0002217935,0.0001499051,0.0005632553],"category_scores_gemma":[0.0001143225,0.0001272921,0.0003839887,0.0005648037,0.0001549643,0.0001526913,0.000257897,0.0002502994,0.0003145762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003041493,"about_ca_system_score_gemma":0.0002148281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001919183,"about_ca_topic_score_gemma":0.001823036,"domain_scores_codex":[0.9999346,0.000004745133,0.0000100616,0.00002004526,0.00001866345,0.00001197917],"domain_scores_gemma":[0.9998977,0.00001322391,0.00004359556,0.00000749314,0.00001219904,0.00002576685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007839717,0.00001148329,0.000625142,0.00003379022,0.000005582811,0.0001046476,0.00005263167,0.00008239115,0.9967603,0.0001274866,0.00001774461,0.002100435],"study_design_scores_gemma":[0.00007205491,0.0004465234,0.158005,0.00004137797,0.0001804698,0.001488978,0.0003330154,0.004407101,0.8145248,0.000592791,0.01985346,0.00005438393],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825121,0.001004907,0.01135184,0.00009354581,0.00001809971,0.00008029252,0.003375785,0.0001320814,0.001431242],"genre_scores_gemma":[0.967451,0.001459865,0.01596062,0.0000769004,0.00001650363,0.00009871221,0.01156858,0.00008085868,0.003287022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001919183,"threshold_uncertainty_score":0.003816068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901524136087413,"score_gpt":0.309876688145939,"score_spread":0.2908614467850649,"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."}}