{"id":"W2080874973","doi":"10.4141/s03-097","title":"Laboratory and field evaluation of five soil water sensors","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba; Manitoba Rural Adaptation Council","keywords":"Water content; Loam; Soil science; Environmental science; Soil water; Field capacity; Pedotransfer function; Bulk density; Calibration; Geotechnical engineering; Geology; Hydraulic conductivity; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002339222,0.0009293907,0.0005792343,0.000541923,0.0002995649,0.0004409418,0.000998527,0.0008160818,0.0005683686],"category_scores_gemma":[0.002707,0.0003098226,0.0004839688,0.0004833904,0.0004733349,0.0005550248,0.0004528252,0.0003569477,0.000165817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005385053,"about_ca_system_score_gemma":0.0004041889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001852255,"about_ca_topic_score_gemma":0.002288352,"domain_scores_codex":[0.9983217,0.0003609567,0.0001372333,0.0004668713,0.0006014503,0.000111721],"domain_scores_gemma":[0.9974389,0.0006936055,0.0003660136,0.0002014284,0.0011685,0.0001315808],"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":[0.0009162468,0.001241357,0.01264581,0.0004147659,0.0001090939,0.00008162,0.0002126593,0.00589481,0.9538035,0.0001337337,0.0003490228,0.02419746],"study_design_scores_gemma":[0.0001795503,0.01268943,0.0226811,0.00002543803,0.0002211242,0.0001888854,0.000256698,0.02413005,0.9374177,0.00009828849,0.002054543,0.00005714541],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978321,0.0002089916,0.02025334,0.00004177526,0.00004996859,0.000277478,0.0002615826,0.0001445444,0.0004414484],"genre_scores_gemma":[0.9576963,0.0002501305,0.04000109,0.00008705231,0.00002264662,0.0002628675,0.0004992055,0.00002395599,0.00115687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002339222,"threshold_uncertainty_score":0.01237118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009526735799367728,"score_gpt":0.2211949641203335,"score_spread":0.2116682283209658,"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."}}