{"id":"W4400201923","doi":"10.23977/jemm.2024.090120","title":"Structural Design and Innovation of Gordon Euryale Shell from the Perspective of Agricultural Mechanization","year":2024,"lang":"en","type":"article","venue":"Journal of Engineering Mechanics and Machinery","topic":"Polysaccharides Composition and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mechanization; Agriculture; Industrial organization; Agricultural machinery; Diversification (marketing strategy); Engineering; Production (economics); Agricultural engineering; Manufacturing engineering; Business; Economics; Marketing","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":[0.0002375086,0.0001986201,0.0001586107,0.0005304041,0.0003098968,0.0005748572,0.0003413146,0.0004121334,0.00275263],"category_scores_gemma":[0.0002354272,0.0001432916,0.0002587894,0.000326778,0.0005873414,0.0006141745,0.0004564464,0.000279183,0.0004747194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004670061,"about_ca_system_score_gemma":0.0004935297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008502772,"about_ca_topic_score_gemma":0.00166602,"domain_scores_codex":[0.9998384,0.0000216853,0.000008714005,0.00003676403,0.00006168053,0.00003283767],"domain_scores_gemma":[0.9999162,0.00001194182,0.00001929293,0.00001470184,0.00002563895,0.000012208],"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":[0.0001659863,0.0001340042,0.02106033,0.0006228411,0.00003026466,0.001301538,0.0007027333,0.05844214,0.6655602,0.09847917,0.001206012,0.1522948],"study_design_scores_gemma":[0.00006357069,0.002411352,0.1844825,0.0002621816,0.0001207595,0.003808114,0.00312718,0.248965,0.3279428,0.06818793,0.1604505,0.0001780287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8929651,0.001433279,0.06312123,0.0004178168,0.00005114036,0.00004775901,0.0001129734,0.00007687788,0.04177389],"genre_scores_gemma":[0.9717642,0.0006749739,0.01532579,0.00004051004,0.000008366658,0.0000213248,0.00005301984,0.0000159168,0.01209585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00275263,"threshold_uncertainty_score":0.0092085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376716808890298,"score_gpt":0.2108319796394523,"score_spread":0.1970648115505493,"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."}}