{"id":"W1573168017","doi":"","title":"Stored grain spoilage monitoring via 3D electromagnetic imaging","year":2015,"lang":"en","type":"article","venue":"European Conference on Antennas and Propagation","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Manitoba; University of Manitoba","funders":"","keywords":"Food spoilage; Silo; Materials science; Computer science; Mechanical engineering; Engineering; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001661397,0.0002993009,0.0003062974,0.0006753455,0.0001355506,0.0004319561,0.0003452846,0.0003872906,0.0007648261],"category_scores_gemma":[0.0003393888,0.0002000671,0.0001835818,0.0005537671,0.0002195092,0.0003288343,0.0002723124,0.0002435192,0.0001956256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001883691,"about_ca_system_score_gemma":0.0001712277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009104117,"about_ca_topic_score_gemma":0.00196711,"domain_scores_codex":[0.9998368,0.00002032285,0.00000579373,0.00002794675,0.00008713373,0.00002187365],"domain_scores_gemma":[0.999713,0.00007908243,0.00007174011,0.00003271475,0.0000849744,0.0000185187],"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":[0.0005244191,0.00008247851,0.01495925,0.0001782542,0.00004836304,0.000366164,0.0002881851,0.01716933,0.9036165,0.0003321766,0.0007327506,0.06170214],"study_design_scores_gemma":[0.00004320959,0.0004927562,0.06879428,0.0000310829,0.00008322476,0.001106148,0.0002938069,0.1878087,0.7360906,0.0004206806,0.004712686,0.0001228298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8731441,0.0002867987,0.1214067,0.0000968308,0.00003372999,0.00005056532,0.000704743,0.001240981,0.003035559],"genre_scores_gemma":[0.9464939,0.0001646418,0.0518866,0.00003553192,0.000007782278,0.00002425596,0.0003036192,0.00004437904,0.001039319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009104117,"threshold_uncertainty_score":0.002558589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03127602893781231,"score_gpt":0.2499491405316519,"score_spread":0.2186731115938396,"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."}}