{"id":"W2381600406","doi":"","title":"Growth Characteristic and Control Measures of Big Highland Barley in Hybrid Rice Field","year":2010,"lang":"en","type":"article","venue":"Seed","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Agronomy; Field (mathematics); Paddy field; Control (management); Biology; Environmental science; Mathematics; Agricultural engineering; Computer science; Engineering; Pure mathematics; 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":[0.000228094,0.00009316448,0.0001662872,0.00001203292,0.00005993269,0.0000300078,0.0001873384,0.00006298054,0.000005446659],"category_scores_gemma":[0.0002343183,0.00003134809,0.00002606314,0.000172159,0.00006181355,0.00008000797,0.00003047,0.0001527953,0.000006571793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003521826,"about_ca_system_score_gemma":0.000005046513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008756797,"about_ca_topic_score_gemma":0.001687614,"domain_scores_codex":[0.9992621,0.00003504595,0.0001555297,0.0002003751,0.0001642666,0.0001827109],"domain_scores_gemma":[0.9994587,0.0003026835,0.0000748081,0.0000356234,0.0000537662,0.00007437602],"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":[0.00002902924,0.00002972695,0.4025379,0.00000584324,0.000002897994,0.000006453041,0.0000421719,9.77815e-8,0.5951493,0.0001207842,0.00006276835,0.002012957],"study_design_scores_gemma":[0.0001719995,0.00008544456,0.9842862,0.00001023597,0.000005189365,0.00001645803,0.00003235682,0.00002769115,0.0147084,0.0002984028,0.0002615835,0.00009599765],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981482,0.00003832232,0.000004942563,0.0009235321,0.0001759898,0.0001167908,0.00004340455,0.00001963423,0.0005292019],"genre_scores_gemma":[0.9995105,0.0000204112,0.00001617515,0.0002377715,0.0001428776,0.000004905812,0.00001067236,3.430763e-7,0.00005633948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5817483,"threshold_uncertainty_score":0.1323771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00997859132680994,"score_gpt":0.1766191196904062,"score_spread":0.1666405283635962,"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."}}