{"id":"W3126384481","doi":"10.3390/s21030962","title":"Comparison of Heating Strategies on Soil Water Measurement Using Actively Heated Fiber Optics on Contrasting Textured Soils","year":2021,"lang":"en","type":"article","venue":"Sensors","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Soil water; Environmental science; Optical fiber; Intensity (physics); Sensitivity (control systems); Power (physics); Water content; Materials science; Optics; Soil science; Geotechnical engineering; Geology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002462014,0.0002232702,0.0003416663,0.00003743352,0.0002113523,0.00005600603,0.00007224859,0.0001112367,0.00006929416],"category_scores_gemma":[0.00007085867,0.0001665869,0.00009103795,0.0001475816,0.0001217902,0.00007268886,0.00005793116,0.0002544783,0.00006200196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002319085,"about_ca_system_score_gemma":0.00002942925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004238213,"about_ca_topic_score_gemma":0.0004044193,"domain_scores_codex":[0.9981029,0.0001499556,0.0003246946,0.0003634438,0.0006633928,0.0003955951],"domain_scores_gemma":[0.9994373,0.00008793082,0.0001182026,0.0002146277,0.00006385022,0.00007812399],"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":[0.00005572773,0.0001257656,0.0007209007,0.0000166106,0.00004728314,0.00002752158,0.001785034,0.355733,0.6327801,0.000009360033,0.00006124438,0.008637413],"study_design_scores_gemma":[0.000431707,0.0001279512,0.01278183,0.0002005971,0.0000482635,0.00001280133,0.004068892,0.03948128,0.9424279,0.00004575531,0.0001171566,0.0002558384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963205,0.00002223546,0.00007371923,0.0002137053,0.00013961,0.0001149859,0.000001330217,0.00003818626,0.03619127],"genre_scores_gemma":[0.9981614,0.000001391161,0.001474225,0.0001181808,0.00007099792,2.540743e-7,0.00000516429,0.0000257269,0.0001426072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3162517,"threshold_uncertainty_score":0.6793216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05788540201505429,"score_gpt":0.2968197804728437,"score_spread":0.2389343784577894,"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."}}