{"id":"W2135752774","doi":"","title":"1 Aerodynamic Properties of Wheat Kernel and Straw Materials","year":2014,"lang":"en","type":"article","venue":"eCommons (Cornell University)","topic":"Agricultural Engineering and Mechanization","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terminal velocity; Straw; Drag coefficient; Air velocity; Airflow; Chemistry; Drag; Node (physics); Analytical Chemistry (journal); Mathematics; Materials science; Mechanics; Physics; Chromatography; Thermodynamics; Acoustics","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":[0.00003502367,0.00008348341,0.0001135985,0.00005920992,0.00002523846,0.000008900451,0.00006952111,0.00004715212,0.00001521309],"category_scores_gemma":[0.000005389894,0.00007511324,0.00001504793,0.0001098756,0.00001595735,0.00009699133,0.00002394214,0.00004021989,0.000007275318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000241233,"about_ca_system_score_gemma":0.000002128495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002562454,"about_ca_topic_score_gemma":0.00003112933,"domain_scores_codex":[0.9997134,0.00001332053,0.0000699075,0.00008391406,0.00002417161,0.00009529733],"domain_scores_gemma":[0.9998316,0.000007212587,0.00001517224,0.00008839599,0.00001963808,0.00003798713],"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":[0.00001169513,0.00001856211,0.0003557714,0.0002623354,0.00004411633,0.000002755723,0.000207757,0.1713776,0.8163865,0.01067681,0.0001475965,0.0005084887],"study_design_scores_gemma":[0.001451204,0.0002004232,0.02332861,0.0003525726,0.000157131,0.00002736647,0.0007378605,0.2794661,0.6905143,0.0004826559,0.002245171,0.001036651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922951,0.00002859672,0.006012569,0.000005168138,0.000121133,0.00005428348,0.000005830918,0.0001578235,0.001319474],"genre_scores_gemma":[0.9993766,0.00004769588,0.00009215552,0.000001626729,0.00001939551,1.888461e-7,0.000007061679,0.00001001042,0.0004452573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1258723,"threshold_uncertainty_score":0.3063029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015962028778519,"score_gpt":0.1296643964844187,"score_spread":0.1195047761966335,"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."}}