{"id":"W7059363905","doi":"","title":"Acknowledgements","year":2017,"lang":"en","type":"book-chapter","venue":"OpenEdition (OpenEdition)","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Public policy; Affect (linguistics); Local government","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003788226,0.0007893039,0.0009148704,0.002754865,0.001581614,0.002687668,0.001996342,0.001089669,0.3138355],"category_scores_gemma":[0.03080241,0.0002663097,0.000486516,0.002037196,0.0006872538,0.002497236,0.002702563,0.002871325,0.2400231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001822755,"about_ca_system_score_gemma":0.003656709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003577167,"about_ca_topic_score_gemma":0.005287434,"domain_scores_codex":[0.9957049,0.0007273486,0.0003027713,0.000487322,0.002583196,0.0001944107],"domain_scores_gemma":[0.9719607,0.003216002,0.0007755071,0.00144368,0.0203972,0.002206977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002544688,0.000009974574,0.0001231814,0.0001249828,0.000002466014,0.00009767708,0.0002622999,0.00004407991,0.0002238137,0.004022814,0.9647746,0.0302886],"study_design_scores_gemma":[0.000002906551,0.000003152198,0.0001355822,0.00006552291,0.000001510037,0.00007269891,0.0001490802,0.00002233211,0.0000597823,0.0008816814,0.9986022,0.0000035709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00314056,0.01296377,0.01791726,0.1272961,0.2553012,0.001077595,0.03259304,0.004268805,0.5454417],"genre_scores_gemma":[0.01085022,0.005657421,0.01196347,0.02371495,0.02186191,0.0008009446,0.01742904,0.003276768,0.9044454],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3138355,"threshold_uncertainty_score":0.9787304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188904505176274,"score_gpt":0.2386713321403993,"score_spread":0.219780881622772,"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."}}