{"id":"W4289945970","doi":"10.5194/gi-11-279-2022","title":"Developing a low-cost frequency-domain electromagnetic induction instrument","year":2022,"lang":"en","type":"article","venue":"Geoscientific instrumentation, methods and data systems","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Instrumentation (computer programming); Antenna (radio); Microcontroller; Transmitter; Electrical conductor; Electrical engineering; Computer science; Electronic component; Electromagnetics; Remote sensing; Engineering; Electronic engineering; Geology","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":[0.0009914355,0.0003773276,0.000446175,0.0005136685,0.0003261362,0.0007025359,0.001062301,0.0005381418,0.005319527],"category_scores_gemma":[0.001011565,0.0002786726,0.0002447508,0.0004115561,0.0003080901,0.0009315729,0.0008029458,0.0007517199,0.00451491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004440752,"about_ca_system_score_gemma":0.001007049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004203836,"about_ca_topic_score_gemma":0.0005405946,"domain_scores_codex":[0.9993101,0.00005500345,0.00003377881,0.0001152812,0.0004334021,0.00005240108],"domain_scores_gemma":[0.9992187,0.0001006803,0.0000813951,0.0001138183,0.0004051121,0.00008036791],"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":[0.0001218411,0.0003754721,0.003861368,0.0003787488,0.00002574121,0.0001678919,0.0001117511,0.00301616,0.7768705,0.004590675,0.007000291,0.2034794],"study_design_scores_gemma":[0.0001787346,0.001726054,0.005236499,0.00006527646,0.00006048138,0.0008145513,0.00009750803,0.06285028,0.789386,0.001049672,0.1384498,0.00008510814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06147269,0.000183436,0.9239178,0.0004847889,0.0002412728,0.001068396,0.0004536906,0.004502025,0.007675977],"genre_scores_gemma":[0.1528107,0.0001639413,0.8369888,0.0002155038,0.00005891057,0.0006834962,0.0008407579,0.0002280961,0.008009915],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005319527,"threshold_uncertainty_score":0.01779562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05423592603036993,"score_gpt":0.3201190477585817,"score_spread":0.2658831217282118,"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."}}