{"id":"W2355518409","doi":"","title":"Characteristics and Cultivation Technology of Hybrid Rice Zhongyou T 16","year":2010,"lang":"en","type":"article","venue":"Seed","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Agronomy; Mathematics; Biology; Horticulture; Agricultural engineering; Engineering","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":[0.00008600787,0.000169063,0.0001212133,0.0003407255,0.000116703,0.0001785314,0.0001227844,0.0001183056,0.000475818],"category_scores_gemma":[0.0001738681,0.000152868,0.0001894669,0.0003364501,0.00009970416,0.0001492649,0.0001461101,0.000173816,0.0002344861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000170207,"about_ca_system_score_gemma":0.0002011119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002549799,"about_ca_topic_score_gemma":0.002008574,"domain_scores_codex":[0.9999391,0.000005504838,0.000007236159,0.00002273826,0.00001498625,0.00001036787],"domain_scores_gemma":[0.9998468,0.00003774812,0.00003530151,0.00001623301,0.00002191568,0.00004192594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004839066,0.000004159327,0.001007101,0.000006860651,0.000001036763,0.00003287675,0.00002286421,0.00005071076,0.9982262,0.00001771417,0.00000636883,0.0005756124],"study_design_scores_gemma":[0.00002640608,0.0005209196,0.08899987,0.000004015768,0.00004492584,0.0007266571,0.0001757516,0.001140614,0.9061322,0.00008193265,0.002126344,0.00002033722],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980233,0.0001004403,0.001208307,0.00001312124,0.000002945583,0.000006709448,0.0001540708,0.00001483392,0.0004762042],"genre_scores_gemma":[0.9962452,0.00008331126,0.001362944,0.000008100183,0.000001843851,0.000009896622,0.0005205497,0.00001777675,0.00175029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002549799,"threshold_uncertainty_score":0.005069971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0068262049698172,"score_gpt":0.1891219568983463,"score_spread":0.1822957519285291,"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."}}