{"id":"W2981485989","doi":"10.4095/298731","title":"Groundwater level monitoring near Killarney and Cartwright, Manitoba, 2010-2014","year":2016,"lang":"en","type":"report","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Groundwater; Environmental science; Hydrology (agriculture); Archaeology; Geography; Geology; Geotechnical engineering","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":[0.000308666,0.0004598614,0.0002350668,0.002309887,0.001531155,0.0008865432,0.001365813,0.0002253684,0.00378974],"category_scores_gemma":[0.0009354879,0.0004195461,0.0001675474,0.005923506,0.0003729277,0.0003625484,0.0007859535,0.0003578088,0.000810614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01122144,"about_ca_system_score_gemma":0.02015265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9823605,"about_ca_topic_score_gemma":0.9967763,"domain_scores_codex":[0.999571,0.00002052838,0.00002097065,0.00008634459,0.000219027,0.00008209678],"domain_scores_gemma":[0.9983085,0.00006252917,0.0001719284,0.00004500578,0.001243359,0.0001685644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001984186,0.000184161,0.918661,0.0003219713,0.00008883872,0.0005379433,0.002908292,0.00120827,0.005498302,0.0002331199,0.02654373,0.04361583],"study_design_scores_gemma":[0.00001643258,0.00003878396,0.9860444,0.00005256415,0.0000207166,0.00005355306,0.002158662,0.0003075202,0.001149334,0.00001838038,0.01012769,0.00001190391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8179064,0.0005512342,0.000966606,0.000510283,0.00002764104,0.0005602674,0.1568197,0.0002927605,0.02236507],"genre_scores_gemma":[0.8453467,0.001674272,0.00545584,0.000304125,0.00001920782,0.0006706622,0.08930044,0.00007073145,0.05715793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01763952,"threshold_uncertainty_score":0.08141762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04577553453250172,"score_gpt":0.2537073195861436,"score_spread":0.2079317850536419,"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."}}