{"id":"W2378210433","doi":"","title":"Characteristics and Mating Cultivation Technology of Hybrid New Rape Variety Tianyou 97","year":2010,"lang":"en","type":"article","venue":"Seed","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mating; Variety (cybernetics); Biology; Biotechnology; Computer science; Ecology; Artificial intelligence","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":[0.00008955545,0.00005021479,0.0001328881,0.00006264832,0.00002424397,0.000004225767,0.00003064479,0.00005079919,0.0001081791],"category_scores_gemma":[0.001192207,0.00003749473,0.00001438072,0.00009250567,0.00007806039,0.00002171894,0.00002647866,0.0001957841,0.0000228652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007077116,"about_ca_system_score_gemma":0.00008704753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003704567,"about_ca_topic_score_gemma":0.000002171339,"domain_scores_codex":[0.9995091,0.00000626733,0.0001219286,0.00009299019,0.0001476704,0.0001220281],"domain_scores_gemma":[0.9995891,0.00004229242,0.00004651658,0.0001224501,0.00005942581,0.0001402369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001370695,0.0001665555,0.4511972,0.0001473982,0.00009441194,0.00006986777,0.0001341131,8.571805e-9,0.3652962,0.001234757,0.0002110133,0.1813114],"study_design_scores_gemma":[0.002802242,0.0004200241,0.9160509,0.0001162719,0.00005828503,0.00008565267,0.0000540532,0.0005855364,0.07511737,0.001687287,0.002947351,0.00007507201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965776,0.00002950607,0.0009841122,0.001418734,0.00005490943,0.0001522267,0.000004916446,0.00002614707,0.0007518272],"genre_scores_gemma":[0.9940189,0.00002686264,0.004766207,0.00007015118,0.00006226012,0.000003234039,0.00003571727,0.000005797981,0.001010875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4648537,"threshold_uncertainty_score":0.1528991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612812302749018,"score_gpt":0.2974934259105702,"score_spread":0.28136530288308,"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."}}