{"id":"W2375445298","doi":"","title":"Characteristics and High Yield Cultivation Techniques for Qian Peanut No.2 Variety","year":2007,"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":"Yield (engineering); Variety (cybernetics); Agronomy; Horticulture; Biology; Mathematics; Materials science; Statistics; Metallurgy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000370517,0.0001060816,0.0001119358,0.00000739205,0.0002137521,0.00005982756,0.0001381234,0.0001098352,0.000004172508],"category_scores_gemma":[0.0001804742,0.00003697735,0.00003219734,0.0001640241,0.00005319599,0.000133822,0.00003879481,0.00007678655,0.00001039169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001838998,"about_ca_system_score_gemma":0.000003056424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001428845,"about_ca_topic_score_gemma":0.0001597086,"domain_scores_codex":[0.9992399,0.00001021924,0.0001426485,0.000234205,0.0001360166,0.0002370758],"domain_scores_gemma":[0.9994378,0.0002419923,0.00008911046,0.00003331865,0.0001177272,0.00008003537],"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":[0.0001246297,0.000119326,0.1712755,0.00002977901,0.0000124052,0.000005922966,0.000271224,1.469379e-7,0.7574914,0.003554509,0.003912175,0.06320301],"study_design_scores_gemma":[0.00004066121,0.0001533899,0.9647107,0.00001769576,0.000005650746,0.000005855757,0.00008591446,0.0000336222,0.0192897,0.0003179647,0.01519536,0.0001434833],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968776,0.00001036662,0.0006383559,0.0007201904,0.000143738,0.0003351345,0.00008263755,0.000140952,0.001051065],"genre_scores_gemma":[0.996191,0.00001919639,0.002017835,0.0003968105,0.000458668,0.00001076659,0.000175818,5.918475e-7,0.0007293665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7934352,"threshold_uncertainty_score":0.164403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504118914929653,"score_gpt":0.2120632250507191,"score_spread":0.1970220359014226,"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."}}