{"id":"W2380112901","doi":"","title":"Zhongyou 85,Technologies for Producing Seed on High Yield","year":2007,"lang":"en","type":"article","venue":"Seed","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Horticulture; Mathematics; Agronomy; Biology; Materials science; Composite material","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":[0.0003116193,0.0005780879,0.0003385754,0.0007683318,0.0007735854,0.0003044736,0.0003452032,0.0003626665,0.00224306],"category_scores_gemma":[0.000140984,0.0002777229,0.0004358877,0.000926802,0.0001189192,0.0002522865,0.0003823087,0.0005347112,0.001029266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006928348,"about_ca_system_score_gemma":0.0008480291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003323641,"about_ca_topic_score_gemma":0.008310523,"domain_scores_codex":[0.9998291,0.00001189671,0.00001275667,0.00006295116,0.0000602334,0.00002310111],"domain_scores_gemma":[0.999892,0.00001144288,0.00002400704,0.000022469,0.00001705319,0.00003302139],"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":[0.00009872203,0.00002397712,0.001509205,0.0001298585,0.00001254767,0.0000738856,0.00007262691,0.0001617105,0.9781861,0.0003877978,0.0002698886,0.01907358],"study_design_scores_gemma":[0.0001545989,0.0009132378,0.08681431,0.00002666052,0.0002830299,0.000943638,0.0002032711,0.00111302,0.8314036,0.0007847588,0.07731243,0.00004740398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9158072,0.00367034,0.0563802,0.0002414232,0.00006062768,0.0002784804,0.002014944,0.001180826,0.02036599],"genre_scores_gemma":[0.856267,0.002400452,0.1055713,0.0001432319,0.00001681287,0.0003376671,0.00652551,0.000216069,0.02852185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003323641,"threshold_uncertainty_score":0.007503808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03133800594543254,"score_gpt":0.2319071391821239,"score_spread":0.2005691332366913,"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."}}