{"id":"W2386040032","doi":"","title":"DNA Fingerprinting Technology and Its Application to Genetics and Breeding in Maize","year":2008,"lang":"en","type":"article","venue":"Seed","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"DNA profiling; Biology; Genetics; Biotechnology; DNA","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":[0.001009649,0.0003817351,0.0003142449,0.002475919,0.0004517755,0.0005780981,0.0005831512,0.0007693692,0.0007233012],"category_scores_gemma":[0.00111587,0.0004522857,0.0003574515,0.001896215,0.0009469936,0.0008751729,0.0003307652,0.001073194,0.0004091513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004330612,"about_ca_system_score_gemma":0.000538151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002922589,"about_ca_topic_score_gemma":0.001667926,"domain_scores_codex":[0.9997237,0.00007708287,0.00002073919,0.00009281703,0.0000516025,0.00003403478],"domain_scores_gemma":[0.9990832,0.0005666455,0.0001298164,0.00007335221,0.00007384452,0.00007312599],"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":[0.0003312578,0.00006538794,0.002996646,0.0002068911,0.00002285296,0.0001883795,0.0001460316,0.0008045858,0.9216152,0.00308578,0.0001078752,0.07042914],"study_design_scores_gemma":[0.00008255058,0.0008806697,0.03378243,0.00008785151,0.0001849092,0.002709687,0.0003468314,0.00562861,0.931678,0.009201326,0.0153144,0.0001027834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5183967,0.0336416,0.4387399,0.001277196,0.0001360065,0.0001858145,0.001381351,0.0005467567,0.005694679],"genre_scores_gemma":[0.7740088,0.02273021,0.1990231,0.0001937205,0.00007489374,0.0002151933,0.0007077103,0.00006094913,0.002985452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002922589,"threshold_uncertainty_score":0.005811155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01055079806170254,"score_gpt":0.2132512319633412,"score_spread":0.2027004339016387,"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."}}