{"id":"W4367171955","doi":"10.18280/mmep.100204","title":"Application of Microwave Energy in Agriculture","year":2023,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Technology and Security Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microwave; Agriculture; Energy (signal processing); Agricultural economics; Agroforestry; Agricultural engineering; Business; Environmental science; Geography; Computer science; Economics; Telecommunications; Engineering; Mathematics; Statistics; Archaeology","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":[0.0001298195,0.0002160333,0.0002003498,0.0004376005,0.0002426292,0.0005844022,0.0002355979,0.0005156904,0.003009793],"category_scores_gemma":[0.0002554308,0.0001342635,0.0002509247,0.0005367489,0.0004759605,0.0005136802,0.0004676206,0.0003742418,0.0006096477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000332919,"about_ca_system_score_gemma":0.0001529536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002458308,"about_ca_topic_score_gemma":0.0002172787,"domain_scores_codex":[0.9998814,0.00003111907,0.000004823032,0.00002936,0.0000399157,0.00001338639],"domain_scores_gemma":[0.9999241,0.00003595478,0.00000956743,0.00001377177,0.00001197775,0.000004735969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001898186,0.0001162517,0.004471554,0.00133707,0.0000938212,0.001029669,0.0003587451,0.03227859,0.2351013,0.2752493,0.005299882,0.444474],"study_design_scores_gemma":[0.00006755826,0.0007086108,0.009399622,0.0005142636,0.000125292,0.004328808,0.0005095169,0.06892073,0.1423765,0.1889999,0.5839593,0.00008981095],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1894347,0.1723829,0.3923303,0.003296966,0.00148906,0.0001051272,0.000158061,0.0003992481,0.2404035],"genre_scores_gemma":[0.884205,0.05148236,0.03967956,0.0003390687,0.0005020883,0.00004845579,0.00007115953,0.00003306188,0.0236393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003009793,"threshold_uncertainty_score":0.01006877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01090529334808668,"score_gpt":0.1821192660353432,"score_spread":0.1712139726872565,"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."}}