{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001984851,0.0004400704,0.0002414746,0.0003468035,0.000216274,0.0005791415,0.0007008781,0.0003294164,0.004790257],"category_scores_gemma":[0.0003482015,0.0003398949,0.0002720841,0.0002223436,0.0002547865,0.0004938125,0.0003102272,0.0004123034,0.001802587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004165288,"about_ca_system_score_gemma":0.0004645324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008104382,"about_ca_topic_score_gemma":0.00231544,"domain_scores_codex":[0.9996446,0.00003384236,0.00002413319,0.0001072919,0.0001532279,0.00003673694],"domain_scores_gemma":[0.99968,0.00002565364,0.00008109393,0.00007004922,0.0001207754,0.00002255973],"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":[0.0003705051,0.0001680558,0.00213484,0.0004011376,0.00003141036,0.0002487442,0.000184081,0.01137995,0.7848845,0.009480812,0.003564661,0.1871513],"study_design_scores_gemma":[0.00008677458,0.001655447,0.01011654,0.00004356086,0.0001241884,0.001108297,0.00006286837,0.07874887,0.7454088,0.002189319,0.1603749,0.00008031898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1966729,0.000465584,0.7410125,0.0002253524,0.0002489053,0.0003396452,0.0003698576,0.005704309,0.05496099],"genre_scores_gemma":[0.6768675,0.00025849,0.2780663,0.0002447994,0.00004482908,0.000196128,0.0003645245,0.0005037094,0.04345353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004790257,"threshold_uncertainty_score":0.01602495,"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."}}