{"id":"W2388916961","doi":"","title":"Seed Production Techniques for New Indica Hybrid Rice Xieyou 4090","year":2007,"lang":"en","type":"article","venue":"Seed","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Production (economics); Agronomy; Biology; Economics","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":[0.0001715822,0.0002811039,0.0002179414,0.0003100472,0.0002336134,0.0002042652,0.0002891487,0.0001409204,0.001320475],"category_scores_gemma":[0.0001361704,0.0002153864,0.0002393539,0.0002072705,0.0001256101,0.0002066852,0.0003338865,0.0005173075,0.0005991414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001956454,"about_ca_system_score_gemma":0.0002055749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001302209,"about_ca_topic_score_gemma":0.003849288,"domain_scores_codex":[0.9999391,0.000007021704,0.000006032054,0.00002180378,0.00001602282,0.00001005013],"domain_scores_gemma":[0.9998786,0.00002936278,0.00001959728,0.00002250588,0.00002264427,0.00002732713],"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":[0.00002676627,0.000005557264,0.0001799552,0.0000146669,0.000001811047,0.00003713093,0.00002642554,0.00002077704,0.9979061,0.0000519736,0.00002162359,0.001707177],"study_design_scores_gemma":[0.00002154828,0.0002405693,0.01074247,0.000007223636,0.00004937359,0.0004732532,0.0001001295,0.000756287,0.9836255,0.00007262668,0.003903639,0.000007387031],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445525,0.0008051268,0.05075028,0.00009090751,0.00002407287,0.00009464323,0.0002902697,0.0002052857,0.003186849],"genre_scores_gemma":[0.9159639,0.0006322537,0.07450235,0.00005746453,0.000006605186,0.00008613155,0.0008371576,0.0002090062,0.007705075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001320475,"threshold_uncertainty_score":0.004417479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02700254435962379,"score_gpt":0.2800518370979693,"score_spread":0.2530492927383455,"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."}}