{"id":"W2368916365","doi":"","title":"Application of Ion Beam Biotechnology in Medicinal Plant Breeding","year":2010,"lang":"en","type":"article","venue":"Seed","topic":"Plant Genetic and Mutation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biotechnology; Biology; Plant breeding; Agronomy","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":[0.0009552881,0.0005032979,0.0004108255,0.0008890116,0.0005464551,0.0006217237,0.0004827986,0.0008103545,0.00327641],"category_scores_gemma":[0.0003988517,0.000256201,0.0003789842,0.0008589468,0.000661357,0.000704412,0.0005425334,0.0009406073,0.0007517457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004621855,"about_ca_system_score_gemma":0.0004255843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001063277,"about_ca_topic_score_gemma":0.0008043261,"domain_scores_codex":[0.9997349,0.0001099566,0.00001353988,0.00005404883,0.0000567202,0.00003070115],"domain_scores_gemma":[0.9996797,0.0001489995,0.0000370073,0.0000411926,0.00005982478,0.00003325225],"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":[0.0002993868,0.00005213842,0.0006303067,0.0001179346,0.00001624727,0.000128331,0.00006092107,0.0001973024,0.9859436,0.001020253,0.0001182209,0.01141543],"study_design_scores_gemma":[0.0001647391,0.001162427,0.005854683,0.00003802138,0.00008760564,0.001304744,0.000151184,0.0008807069,0.9731238,0.001179827,0.01602957,0.00002261384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8451986,0.02905743,0.09028271,0.002836172,0.0002876108,0.0004889717,0.0006577969,0.0003006748,0.03088992],"genre_scores_gemma":[0.8875196,0.02133635,0.07906291,0.0005562959,0.00008406423,0.0001905909,0.0006166678,0.0000906261,0.01054286],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00327641,"threshold_uncertainty_score":0.0109607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254168577300255,"score_gpt":0.216202165787595,"score_spread":0.2036604800145925,"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."}}