{"id":"W7104672877","doi":"10.17632/2ndb7297ff","title":"Soil Moisture SK4","year":2025,"lang":"","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reflectometry; Water content; Moisture; Wind speed; Automatic weather station; Weather station; Hydrology (agriculture)","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":[],"consensus_categories":[],"category_scores_codex":[0.0004148117,0.001530494,0.0007461232,0.001501869,0.0004086708,0.0007315236,0.001734116,0.0008287355,0.01642326],"category_scores_gemma":[0.001041682,0.0003213903,0.0006350508,0.002419311,0.0002359459,0.0006126643,0.0007953502,0.0009533583,0.02766615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222317,"about_ca_system_score_gemma":0.001231507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07241473,"about_ca_topic_score_gemma":0.1734572,"domain_scores_codex":[0.9995759,0.00003881341,0.00003900324,0.0001333812,0.0001399035,0.00007298942],"domain_scores_gemma":[0.9992705,0.00004076587,0.00007994291,0.0001663851,0.0003577313,0.00008471546],"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":[0.0001870436,0.0001099199,0.01554248,0.00044979,0.00008404161,0.00006636646,0.00004297628,0.001577625,0.0008488537,0.0004530707,0.9700199,0.01061797],"study_design_scores_gemma":[0.0004451038,0.0000950968,0.09439605,0.0002151489,0.00004765933,0.0001177369,0.0002382017,0.007235173,0.002855344,0.0009022644,0.8933809,0.0000712238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002531834,0.00003720726,0.0001108057,0.00003402199,0.00002217395,0.00002182199,0.9957769,0.0004370949,0.001028237],"genre_scores_gemma":[0.002884202,0.0000227513,0.0003194904,0.00001374078,0.000004518157,0.00003675248,0.9960407,0.00002224791,0.0006556087],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07241473,"threshold_uncertainty_score":0.1439865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0504460871660333,"score_gpt":0.3297139546498192,"score_spread":0.2792678674837858,"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."}}