{"id":"W1981121476","doi":"10.2136/sssaj2006.0282","title":"Performance of a Capacitance‐Type Soil Water Probe in a Well‐Drained Sandy Soil","year":2007,"lang":"en","type":"article","venue":"Soil Science Society of America Journal","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Soil water; Capacitance probe; Soil science; Water content; Environmental science; Entisol; Bulk density; Field capacity; Capacitance; Porosity; Fertigation; Irrigation scheduling; Hydrology (agriculture); Irrigation; Chemistry; Geology; Geotechnical engineering; Electrode; Agronomy","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":[0.000472662,0.0003586706,0.0002637304,0.0002277693,0.0001825505,0.0002474397,0.000632745,0.0006592794,0.0008047022],"category_scores_gemma":[0.001486988,0.0002316372,0.0001801697,0.000251216,0.000229125,0.000604933,0.0004321673,0.0001689898,0.0001508492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002687341,"about_ca_system_score_gemma":0.0001970416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001794989,"about_ca_topic_score_gemma":0.002631508,"domain_scores_codex":[0.9996395,0.00006834992,0.00002126561,0.0001427597,0.00008399803,0.00004412755],"domain_scores_gemma":[0.99924,0.0003817926,0.0001117211,0.00005895521,0.0001415379,0.00006598767],"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":[0.0008446453,0.00008664672,0.00688073,0.00006737906,0.00001490521,0.0001534081,0.0001526226,0.00205498,0.9783311,0.00003705468,0.00007571514,0.01130089],"study_design_scores_gemma":[0.00006790533,0.004840759,0.02923763,0.00001155457,0.0000561968,0.000323033,0.0002280587,0.04038277,0.923754,0.00006311113,0.0009835437,0.00005156893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949827,0.00002189853,0.004601215,0.00002150127,0.000006182439,0.00001530094,0.00009633332,0.0000945539,0.0001602668],"genre_scores_gemma":[0.994866,0.00002677977,0.004639758,0.00002414038,0.000002349274,0.00001055592,0.00005359656,0.000007592392,0.0003691485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001794989,"threshold_uncertainty_score":0.003569067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007166028289770617,"score_gpt":0.2226775289899608,"score_spread":0.2155115007001902,"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."}}