{"id":"W1980310110","doi":"10.1002/2013wr014331","title":"Time‐lapse borehole radar for monitoring rainfall infiltration through podosol horizons in a sandy vadose zone","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Groundwater recharge; Vadose zone; Infiltration (HVAC); Geology; Borehole; Water content; Ground-penetrating radar; Hydrology (agriculture); Capillary fringe; Soil science; Moisture; Soil water; Aquifer; Radar; Groundwater; Geotechnical engineering; Meteorology","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":[0.0001419991,0.000155099,0.0001010043,0.0004842565,0.00008623362,0.0001539731,0.0001633458,0.000155248,0.0002523051],"category_scores_gemma":[0.0002121985,0.00007854201,0.00006355849,0.0003081794,0.00005774101,0.0001595286,0.0001272601,0.0001019595,0.00007489692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009358022,"about_ca_system_score_gemma":0.00008132165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003492716,"about_ca_topic_score_gemma":0.01080539,"domain_scores_codex":[0.9999456,0.000006461427,0.000003119522,0.00001561699,0.00001792015,0.00001129225],"domain_scores_gemma":[0.9998683,0.00001849526,0.00004768846,0.00001018263,0.00003557148,0.00001986863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002476605,0.0002010074,0.5302529,0.0000631966,0.00004357375,0.00043668,0.0004059127,0.002189862,0.4263948,0.00006273854,0.0004897963,0.03921189],"study_design_scores_gemma":[0.00001226854,0.0001645436,0.9781828,0.000005108543,0.00001872066,0.0001979799,0.0001625038,0.00848513,0.01236253,0.00001502468,0.0003849348,0.000008464089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983273,0.00003645519,0.001004319,0.000006011887,0.000002165557,0.00001102316,0.0002441648,0.00005531033,0.0003132809],"genre_scores_gemma":[0.9974284,0.00003188063,0.002218257,0.000006334742,0.000002862143,0.000007935973,0.0001973836,0.000002713639,0.0001042682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003492716,"threshold_uncertainty_score":0.006944776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04433515972138163,"score_gpt":0.3343702954926854,"score_spread":0.2900351357713037,"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."}}