{"id":"W7037792076","doi":"","title":"Fasulyenin Hasat-Harman Mekanizasyonunda Tane Kayıpları","year":2007,"lang":"en","type":"article","venue":"DergiPark (Istanbul University)","topic":"Phytochemistry and Biological Activities","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Threshing; Mechanization; Population; Agricultural machinery; Combine harvester","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":[0.0004668024,0.0007492997,0.0006593491,0.0005939632,0.0006569536,0.00144378,0.0003755252,0.0006097723,0.01361095],"category_scores_gemma":[0.000349054,0.0002557198,0.000446114,0.0004029067,0.0004925855,0.0009965915,0.0005812974,0.0007546998,0.002842876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005435144,"about_ca_system_score_gemma":0.0006463859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001373704,"about_ca_topic_score_gemma":0.002716405,"domain_scores_codex":[0.9998158,0.00002672861,0.00001490658,0.0000635884,0.00004791233,0.0000311308],"domain_scores_gemma":[0.9997771,0.00004454671,0.00003717476,0.00001407173,0.00009347063,0.00003361469],"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":[0.001606779,0.0003765175,0.01061838,0.001895074,0.0001788725,0.001785551,0.000720675,0.001206259,0.5080011,0.005643447,0.002065092,0.4659021],"study_design_scores_gemma":[0.0001675441,0.003585641,0.06482703,0.0005354573,0.00061278,0.007146352,0.003495792,0.005166258,0.6178675,0.007817701,0.2885612,0.0002166427],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8367497,0.05106121,0.05106829,0.002770812,0.001369157,0.0002449657,0.0006102473,0.0006997554,0.05542592],"genre_scores_gemma":[0.8953967,0.01490354,0.0378767,0.0005860995,0.0001389591,0.0000958425,0.0006192319,0.0001004412,0.05028252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01361095,"threshold_uncertainty_score":0.04553318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322706525788469,"score_gpt":0.1778459100423812,"score_spread":0.1646188447844965,"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."}}