{"id":"W2381346733","doi":"","title":"The unpolished rice adds wet quenching and tempering machire design","year":2007,"lang":"en","type":"article","venue":"Machinery Design and Manufacture","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tempering; Quenching (fluorescence); Energy consumption; Agricultural engineering; Materials science; Process (computing); Metallurgy; Environmental science; Computer science; Engineering; Electrical engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008649396,0.0001818551,0.0001277182,0.00001339532,0.0007242073,0.000227905,0.00014452,0.00009206613,0.00004761986],"category_scores_gemma":[0.00005550543,0.00005770907,0.00003352803,0.000101765,0.00006012778,0.000127713,0.00006462495,0.0002066718,0.000002538159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001565312,"about_ca_system_score_gemma":0.000004857288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002247377,"about_ca_topic_score_gemma":0.00009971403,"domain_scores_codex":[0.99898,0.0001138368,0.0001913827,0.0002596552,0.0001480552,0.0003070696],"domain_scores_gemma":[0.9990967,0.0006242736,0.00007347696,0.0000591,0.00001844118,0.0001280219],"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":[0.000163066,0.00004428383,0.001010092,0.00001891943,0.00003741424,0.00001352507,0.0005316581,0.00007018516,0.5041978,0.001015434,0.005804723,0.4870929],"study_design_scores_gemma":[0.001203278,0.0009083258,0.662905,0.00008567433,0.00007806267,0.000105127,0.0032052,0.003154873,0.115177,0.007284402,0.2044998,0.001393274],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674711,0.001262006,0.0235702,0.00501041,0.000275073,0.000781087,0.000009366337,0.0001600059,0.001460798],"genre_scores_gemma":[0.9959205,0.000295207,0.00125406,0.001554597,0.0001676287,0.00001541795,0.000009937332,0.000001989494,0.0007806891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6618949,"threshold_uncertainty_score":0.557009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784478621784626,"score_gpt":0.2219155800688536,"score_spread":0.2040707938510073,"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."}}