{"id":"W769258477","doi":"","title":"The OryzaSNP Project- SNP Discovery in Diverse Rice","year":2007,"lang":"en","type":"article","venue":"分子植物育种","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Computational biology; Biology","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":[0.0022562,0.0006941563,0.001391858,0.001243027,0.0008858158,0.0008821498,0.000860751,0.0006533229,0.00238071],"category_scores_gemma":[0.00200438,0.0003016145,0.000970343,0.001836793,0.0003901845,0.000313403,0.00179385,0.0008276867,0.0006524122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002638016,"about_ca_system_score_gemma":0.0009970958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001708067,"about_ca_topic_score_gemma":0.004582511,"domain_scores_codex":[0.9990693,0.0001930314,0.00008157446,0.0003931705,0.0001588459,0.0001040576],"domain_scores_gemma":[0.9986619,0.0005037374,0.0001726805,0.0002311962,0.00007933041,0.0003512257],"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":[0.01192293,0.000544422,0.114034,0.001598185,0.003899815,0.002556595,0.001659435,0.005621215,0.6849809,0.004705362,0.01136862,0.1571085],"study_design_scores_gemma":[0.005919306,0.001979553,0.6970853,0.0004283743,0.008494905,0.004281094,0.001243192,0.01368319,0.1052756,0.01267086,0.1487108,0.0002278214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.927527,0.001795417,0.01812331,0.0003028569,0.00009802356,0.0001331455,0.04895204,0.0006716785,0.002396463],"genre_scores_gemma":[0.7943547,0.001378258,0.06181192,0.0004716172,0.0001164282,0.0003628139,0.1382128,0.0006091442,0.002682278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00238071,"threshold_uncertainty_score":0.01193208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05921732694861304,"score_gpt":0.3117650546200976,"score_spread":0.2525477276714845,"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."}}