{"id":"W6931956801","doi":"10.5683/sp3/uegacz","title":"MVSMMP Map 02 Regional Groundwater Table Depth","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Water table; Table (database); Groundwater; Hydrology (agriculture); Aquifer","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003188538,0.001393153,0.0009991794,0.00288541,0.000661762,0.001649705,0.00154133,0.001044299,0.03902931],"category_scores_gemma":[0.002609393,0.0004851669,0.000745621,0.006710611,0.00026743,0.0005632706,0.000957453,0.001217325,0.03690702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002066604,"about_ca_system_score_gemma":0.00327965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4364727,"about_ca_topic_score_gemma":0.641679,"domain_scores_codex":[0.9996057,0.00003924125,0.00002592963,0.0001235898,0.0001232357,0.00008224381],"domain_scores_gemma":[0.9987581,0.0001771171,0.00006326249,0.000154094,0.00074189,0.00010561],"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":[0.00003201828,0.00000860266,0.001317281,0.0003798837,0.00002408356,0.00002516593,0.00002574207,0.0004026027,0.00006826699,0.0002357178,0.9944781,0.003002519],"study_design_scores_gemma":[0.0001150081,0.000007404841,0.01175051,0.0003569812,0.0000305283,0.00005518348,0.0001632566,0.0008903012,0.0002983763,0.000769357,0.9855334,0.00002978212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001627183,0.00004687046,0.00003590569,0.0000287505,0.00001013261,0.000003481647,0.9988625,0.0001777075,0.0006718152],"genre_scores_gemma":[0.0008277916,0.00007410996,0.0001877395,0.00001566333,0.00000372479,0.00001761252,0.9977669,0.00005368567,0.001052871],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4364727,"threshold_uncertainty_score":0.8678644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662614440307308,"score_gpt":0.2668281144530866,"score_spread":0.2502019700500135,"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."}}