{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001251967,0.0001895791,0.0001668307,0.0003002274,0.0001905357,0.0001967275,0.0001270538,0.0001078619,0.0005206848],"category_scores_gemma":[0.0002311412,0.00007470903,0.00008295273,0.000192461,0.0002442834,0.0001176831,0.0001168778,0.0002531376,0.0000794092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005988705,"about_ca_system_score_gemma":0.0002128494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006702654,"about_ca_topic_score_gemma":0.01080278,"domain_scores_codex":[0.999926,0.00001303721,0.000003849053,0.00002842617,0.00001080582,0.00001789372],"domain_scores_gemma":[0.9996775,0.00006253674,0.00005811829,0.00002579685,0.0000347768,0.0001412472],"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":[0.007128117,0.0005863915,0.1310842,0.00002609042,0.0000443887,0.0002298951,0.0004611544,0.0003618891,0.8534625,0.0001351481,0.0001897739,0.006290385],"study_design_scores_gemma":[0.00002312268,0.0008812156,0.9777551,0.000001443377,0.00001540111,0.0001031896,0.00029647,0.00041665,0.02023162,0.00003717019,0.0002308378,0.000007705402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997292,0.0000109445,0.00005887802,0.000003086691,0.000001353964,0.00000174862,0.00007066588,0.000003463355,0.0001207523],"genre_scores_gemma":[0.9991597,0.000006623275,0.00007555464,0.000008676423,0.000001055559,0.000005377941,0.0001615228,0.000002562223,0.0005789589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006702654,"threshold_uncertainty_score":0.0133273,"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."}}