{"id":"W2387863308","doi":"","title":"Breeding and Utilization of Fine Quality Rice Restorer Line Chenghui 047","year":2001,"lang":"en","type":"article","venue":"","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Hybrid; Grain quality; Agronomy; Crop; Grain yield; Yield (engineering); Resistance (ecology); Biology; Line (geometry); Mathematics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003490763,0.00004443201,0.0000872795,0.000007523988,0.00006833948,0.00001341103,0.00006763144,0.00004335808,0.0004226624],"category_scores_gemma":[0.00009851345,0.00001330443,0.00002587816,0.0002728089,0.00003901682,0.00006161084,0.00004286367,0.00004618679,0.000005394371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004980565,"about_ca_system_score_gemma":0.000002416432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001054321,"about_ca_topic_score_gemma":0.0005595663,"domain_scores_codex":[0.9994331,0.00003696535,0.0001228472,0.0001204294,0.000166525,0.000120129],"domain_scores_gemma":[0.9996812,0.0001331104,0.00002901047,0.00002606279,0.00007815341,0.0000524338],"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":[0.00003108143,0.00008486681,0.04727245,0.0000179675,0.000007437804,0.000001223159,0.00007163597,0.000001372257,0.8022735,0.001164977,0.0002998556,0.1487736],"study_design_scores_gemma":[0.00008931903,0.0001654303,0.9897875,0.000007205139,0.000003091559,0.00000293266,0.0002112901,0.000234441,0.004400036,0.0002901769,0.004749386,0.00005917457],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933456,0.0002594252,0.00002156996,0.001359989,0.00001750221,0.00005834688,0.000002943829,0.00001945673,0.00491516],"genre_scores_gemma":[0.997681,0.0003000022,0.00007207781,0.00002981824,0.00009067731,0.000001196332,0.000009619384,2.282518e-7,0.001815332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9425151,"threshold_uncertainty_score":0.4627858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1878525967391821,"score_gpt":0.358542443068457,"score_spread":0.1706898463292749,"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."}}