{"id":"W2910499939","doi":"10.5937/savpoljteh1603143p","title":"Technical and technological parameters cucumber pickles harvesting and processing","year":2016,"lang":"en","type":"article","venue":"Savremena poljoprivredna tehnika","topic":"Agricultural Engineering and Mechanization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dow Chemical (Canada)","funders":"Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja","keywords":"Tractor; Productivity; Yield (engineering); Work (physics); Agricultural engineering; Agricultural science; Mathematics; Environmental science; Engineering; Mechanical engineering; Economics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001279003,0.0002098568,0.0001747029,0.00007890405,0.00008599057,0.00005169064,0.00009201144,0.0001673985,0.000006912909],"category_scores_gemma":[0.0001280457,0.0001296896,0.0000181655,0.0001898376,0.0001156492,0.0002275814,0.00006518574,0.0001391452,0.000007416022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005380476,"about_ca_system_score_gemma":0.000005663035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006441804,"about_ca_topic_score_gemma":0.000007150252,"domain_scores_codex":[0.9990835,0.0000107088,0.0002041014,0.0002613539,0.0001258152,0.0003144749],"domain_scores_gemma":[0.9996524,0.00004834459,0.00003001386,0.0001289542,0.00002799495,0.0001122653],"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":[0.000004372643,0.00001502652,0.001179962,0.0001032184,0.00001585826,0.000006181516,0.0000706316,0.0001383205,0.5632318,0.002297281,0.0003588423,0.4325785],"study_design_scores_gemma":[0.01041073,0.00160802,0.1301292,0.007035293,0.0006557449,0.003073348,0.001744476,0.09732554,0.6119472,0.02357921,0.1020065,0.0104848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8722848,0.001661081,0.1199979,0.0007038902,0.0001574094,0.0003366063,0.00000846491,0.003044351,0.001805523],"genre_scores_gemma":[0.9839865,0.0002630187,0.01545583,0.00002356688,0.00004361259,0.00002620477,0.000002462759,0.00003042016,0.000168382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4220937,"threshold_uncertainty_score":0.5288588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009318065893388105,"score_gpt":0.1837483144448437,"score_spread":0.1744302485514556,"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."}}