{"id":"W191160676","doi":"10.1007/978-90-481-8859-8_2","title":"Development of On-the-Go Proximal Soil Sensor Systems","year":2010,"lang":"en","type":"book-chapter","venue":"","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Environmental science; Remote sensing; Field (mathematics); Soil science; Computer science; Agricultural engineering; Engineering; Geology","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":[],"category_scores_codex":[0.0002008387,0.0002604363,0.000264654,0.0000310659,0.0001287774,0.00001972719,0.0001997814,0.0003192963,0.0006478983],"category_scores_gemma":[0.000009511711,0.0001511579,0.00008753798,0.00001780459,0.0002427495,0.00001910126,0.0001411992,0.0004035735,0.002099494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009171288,"about_ca_system_score_gemma":0.00003365478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001013203,"about_ca_topic_score_gemma":0.0009465829,"domain_scores_codex":[0.9986343,0.000009662152,0.0003425671,0.0003151908,0.0005046702,0.0001935689],"domain_scores_gemma":[0.9992815,0.00006058179,0.000192657,0.0003862537,0.0000119682,0.00006700844],"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":[0.0002478727,0.0004572729,0.0008248089,0.0007306371,0.001183721,0.0003380456,0.009121743,0.0006218795,0.2525547,0.1481072,0.06177919,0.5240329],"study_design_scores_gemma":[0.0001317883,0.00004003227,0.0007141739,0.0002248805,0.00003444103,0.00004112298,0.00007711403,0.00008271282,0.01929788,0.0004637142,0.9783997,0.0004924638],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006749053,0.0000180571,0.00004891739,0.0001336988,0.0004551141,0.0003287591,0.000001167244,0.00003344281,0.9922318],"genre_scores_gemma":[0.04063597,0.00000709983,0.005183384,0.0002178716,0.0001755698,0.000001279808,0.000006129076,0.00005185881,0.9537208],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9166205,"threshold_uncertainty_score":0.9986775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0174550128027356,"score_gpt":0.1980138582102513,"score_spread":0.1805588454075157,"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."}}