{"id":"W2365357467","doi":"","title":"Study on Application of New Blue-grained Dual Purpose Lines Wheat","year":2008,"lang":"en","type":"article","venue":"Seed","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Dual (grammatical number); Dual purpose; Agricultural engineering; Horticulture; Biology; Art; Engineering; Literature; Mechanical engineering","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":[0.0000886198,0.00007657181,0.0001892458,0.00007068914,0.00003515523,0.00000182755,0.00004333553,0.00003761784,0.00003379986],"category_scores_gemma":[0.0003212412,0.00005240825,0.00004104252,0.0001640323,0.00004532023,0.00001662229,0.00001792751,0.00009208122,0.0001458066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002528819,"about_ca_system_score_gemma":0.0001387107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000225526,"about_ca_topic_score_gemma":0.00001785388,"domain_scores_codex":[0.999043,0.00002532854,0.0001549315,0.000155118,0.0004700891,0.0001515524],"domain_scores_gemma":[0.9993166,0.00005981885,0.00003013368,0.0002459674,0.00006281013,0.0002846805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004091006,0.01160707,0.864236,0.0001160132,0.0006476316,0.001280484,0.00617697,0.000003965768,0.04569959,0.0002646616,0.009111344,0.05676528],"study_design_scores_gemma":[0.007799617,0.003761244,0.9767616,0.00003798502,0.00005974659,0.00003021745,0.0003700196,0.00007366806,0.009299308,0.00009177835,0.001650897,0.00006388001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964895,0.0000723039,0.0002034261,0.0008514677,0.00002642442,0.0008429011,0.000002918272,0.00003022379,0.001480797],"genre_scores_gemma":[0.9935797,0.00002587053,0.0001518487,0.0001181409,0.0001530854,0.00003376477,0.00003401043,0.000009080613,0.005894525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1125256,"threshold_uncertainty_score":0.2137147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0645466470849595,"score_gpt":0.3692481335189165,"score_spread":0.304701486433957,"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."}}