{"id":"W7030326196","doi":"","title":"NSC-NRC Collaborative Research Program: project status summary: serial analysis of gene expression in developing rice seed","year":2002,"lang":"en","type":"article","venue":"NPARC","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gene expression; Expression (computer science); Serial analysis of gene expression; Gene; Statistical analysis","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":[0.001792082,0.0003528807,0.0007091806,0.001055003,0.001573717,0.0007083964,0.0009869715,0.0006599498,0.0501294],"category_scores_gemma":[0.001775107,0.0001590884,0.0004439379,0.0007630661,0.0002809174,0.0005072769,0.0005500821,0.0005549967,0.01684973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007505814,"about_ca_system_score_gemma":0.003091477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007645393,"about_ca_topic_score_gemma":0.007860845,"domain_scores_codex":[0.9990662,0.0001492692,0.00008123418,0.0001591945,0.0004414573,0.0001026489],"domain_scores_gemma":[0.9953105,0.0002516648,0.0001057155,0.0002846817,0.003291994,0.0007555471],"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":[0.004984798,0.001189295,0.01356683,0.001054976,0.00008770158,0.0006741272,0.0005481244,0.0004767727,0.6119908,0.001615243,0.1572177,0.2065936],"study_design_scores_gemma":[0.0006137985,0.003041416,0.07999235,0.00007117352,0.0001906974,0.0007643626,0.0004060091,0.002417146,0.6205978,0.0004580986,0.2913729,0.00007418506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6169099,0.002409181,0.0379588,0.01011951,0.006424743,0.009353613,0.05244043,0.005755092,0.2586288],"genre_scores_gemma":[0.3380122,0.001555862,0.02832502,0.0005864026,0.001146963,0.001892103,0.05334115,0.001295188,0.573845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0501294,"threshold_uncertainty_score":0.1676995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09648716379029802,"score_gpt":0.3390460024168981,"score_spread":0.2425588386266001,"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."}}