{"id":"W2356755063","doi":"","title":"Breeding and Application of New Variety Japonica Xinnuo No.1 with Good Quality","year":2010,"lang":"en","type":"article","venue":"Seed","topic":"Flowering Plant Growth and Cultivation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Japonica rice; Japonica; Quality (philosophy); New Variety; Biology; Biotechnology; Computer science; Agronomy; Botany; Artificial intelligence; Cultivar; Physics","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":[0.0002078086,0.0002989983,0.0003350341,0.0004058257,0.0003193798,0.0001824303,0.0003094409,0.0002401185,0.001752019],"category_scores_gemma":[0.0000894113,0.0001803244,0.000334937,0.0003216772,0.0001214104,0.0001766636,0.0002528131,0.000374777,0.0002035742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001859257,"about_ca_system_score_gemma":0.0001871154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007904111,"about_ca_topic_score_gemma":0.002718946,"domain_scores_codex":[0.9999107,0.00000909859,0.00000931688,0.00003802899,0.00002173638,0.00001111486],"domain_scores_gemma":[0.999913,0.00001327306,0.00001359718,0.00001101187,0.00001028262,0.00003892983],"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":[0.00004898103,0.00002952764,0.000596487,0.00005153647,0.000004472264,0.00007990685,0.00002865628,0.00004057426,0.9963775,0.0000733831,0.00003484456,0.002634105],"study_design_scores_gemma":[0.0004657,0.003015216,0.2451728,0.00004050834,0.000582999,0.00446529,0.0003784981,0.004152259,0.7062761,0.0004500897,0.03493046,0.00007008685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9911321,0.0005321419,0.005571574,0.0001076079,0.00003706755,0.00005819416,0.0003082819,0.00009608203,0.002157008],"genre_scores_gemma":[0.9795479,0.0004333242,0.01223648,0.00007773196,0.0000195534,0.00005771196,0.001704981,0.00005653276,0.005865861],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001752019,"threshold_uncertainty_score":0.005861104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078497751985024,"score_gpt":0.2119183807675237,"score_spread":0.2011334032476735,"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."}}