{"id":"W2767831771","doi":"10.1002/mmce.21201","title":"Minimum information for dielectric measurements of biological tissues (MINDER): A framework for repeatable and reusable data","year":2017,"lang":"en","type":"article","venue":"International Journal of RF and Microwave Computer-Aided Engineering","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; Science Foundation Ireland; European Commission","keywords":"Metadata; Dielectric; Replicate; Computer science; Sample (material); Process (computing); Confounding; Data mining; Materials science; Mathematics; Statistics; Optoelectronics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04778562,0.002211211,0.002588381,0.01155129,0.002818709,0.0136241,0.00714719,0.004840673,0.003245655],"category_scores_gemma":[0.09786075,0.002400764,0.005418673,0.007607971,0.005515362,0.02235573,0.01192435,0.006395589,0.003495461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003433263,"about_ca_system_score_gemma":0.00983663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00768564,"about_ca_topic_score_gemma":0.006340063,"domain_scores_codex":[0.9584069,0.0127478,0.01280161,0.004946807,0.009892364,0.001204578],"domain_scores_gemma":[0.9113483,0.04015453,0.006260636,0.03111163,0.009379086,0.001745786],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003528884,0.0001963494,0.002930413,0.002252937,0.0002269335,0.0009833663,0.003622795,0.01244116,0.005988125,0.7901146,0.02104396,0.1598465],"study_design_scores_gemma":[0.0001069586,0.0002378786,0.001133904,0.002345772,0.0002643591,0.001369048,0.0009357874,0.04677492,0.01319124,0.5407833,0.3925541,0.0003027401],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001627739,0.0006422076,0.9858931,0.001223693,0.000112278,0.0006950055,0.003474489,0.00387623,0.002455382],"genre_scores_gemma":[0.02198045,0.001224705,0.9610996,0.0007854431,0.0001861884,0.001609489,0.01061944,0.0009681142,0.001526497],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9522144,"threshold_uncertainty_score":0.2527176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05154574531713178,"score_gpt":0.2816234410537141,"score_spread":0.2300776957365823,"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."}}