{"id":"W2392942572","doi":"","title":"The Selection of Tobacco GDH 88 Strains by Using ISSR Molecular Marker","year":2012,"lang":"en","type":"article","venue":"Seed","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ploidy; Doubled haploidy; Biology; Selection (genetic algorithm); Strain (injury); Molecular marker; Botany; Genetics; Gene; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002620096,0.0003575202,0.0002872482,0.0005111848,0.0003206946,0.0002052882,0.0003354707,0.0002056077,0.001023434],"category_scores_gemma":[0.0001535608,0.0002307107,0.0002813728,0.0002854306,0.0001576835,0.0001122908,0.0005182415,0.00057814,0.0008994387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001982872,"about_ca_system_score_gemma":0.0002686449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007982213,"about_ca_topic_score_gemma":0.002579352,"domain_scores_codex":[0.9997618,0.00002672126,0.00003383574,0.00004593456,0.0001013427,0.00003040923],"domain_scores_gemma":[0.9998947,0.000008694052,0.00001843642,0.00002570637,0.00002491642,0.00002749209],"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":[0.00002432116,0.00002439689,0.0007823472,0.0000215661,0.000004131326,0.00006616158,0.00003077219,0.00002531932,0.9961106,0.000114282,0.00008863655,0.002707367],"study_design_scores_gemma":[0.00006316543,0.0003712784,0.02320521,0.0000230669,0.00006917414,0.001077306,0.0001672105,0.00215123,0.9490833,0.000143499,0.0236185,0.00002722609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581814,0.0003366677,0.03217251,0.0001855156,0.0000822142,0.0004907438,0.001971973,0.0004266451,0.006152326],"genre_scores_gemma":[0.8902138,0.0008799032,0.06839449,0.0002286719,0.00002696736,0.0005778151,0.01420239,0.0002962866,0.02517973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001023434,"threshold_uncertainty_score":0.00342375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228968774838053,"score_gpt":0.2177689506212981,"score_spread":0.2054792628729176,"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."}}