{"id":"W1510453933","doi":"10.1002/0470848944.hsa076","title":"Measuring Soil Water Content","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Hydrological Sciences","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Reflectometry; Ground-penetrating radar; Water content; Metre; Remote sensing; Environmental science; Radar; Neutron probe; Soil science; Time domain; Geology; Computer science; Geotechnical engineering; Neutron; Physics; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004471655,0.0002683299,0.0003796294,0.00007584304,0.0001192435,0.00001871789,0.0005572351,0.0002884261,0.0108477],"category_scores_gemma":[0.00005507642,0.0001384944,0.0001310254,0.0001662827,0.001387415,0.00006596292,0.0003273743,0.0002086207,0.001149724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003909032,"about_ca_system_score_gemma":0.00001043677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001566323,"about_ca_topic_score_gemma":0.001639639,"domain_scores_codex":[0.9978074,0.00007707776,0.000297073,0.0005858189,0.0007129102,0.0005197537],"domain_scores_gemma":[0.999456,0.0000459281,0.0001527258,0.0002192791,0.00000399204,0.0001220924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004276826,0.0006032609,0.04631962,0.00007767386,0.000110183,0.0001576776,0.001042353,0.006101569,0.007019815,0.0001601114,0.4220881,0.5162768],"study_design_scores_gemma":[0.0001701909,0.0001798034,0.009029045,0.00006254349,0.00003021894,0.00001171957,0.0000338347,0.0001878512,0.001198586,0.0001962899,0.988498,0.0004018743],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04297403,0.0005165886,0.00001567711,0.0003948792,0.0004069536,0.0001690194,0.000001294369,0.0001049911,0.9554166],"genre_scores_gemma":[0.3665541,0.001622105,0.002246908,0.0005244327,0.0008023342,0.000003783449,0.000005226289,0.00009841708,0.6281427],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5664099,"threshold_uncertainty_score":0.999628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03359257609328145,"score_gpt":0.2219830800916187,"score_spread":0.1883905039983372,"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."}}