{"id":"W7025450185","doi":"","title":"X-band interferometric sar observations for wetland water level monitoring in newfoundland and labrador","year":2017,"lang":"en","type":"article","venue":"Publication Database GFZ (GFZ German Research Centre for Geosciences)","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wetland; Water level; Interferometry; Interferometric synthetic aperture radar; Synthetic aperture radar; Surface water","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":[0.000507005,0.0002258434,0.0001969973,0.001464631,0.0004277858,0.0006498797,0.0004152283,0.0001990732,0.001367698],"category_scores_gemma":[0.0006096674,0.000141906,0.0001987129,0.0020509,0.0002238906,0.0004464713,0.0004655628,0.0002180732,0.0004054601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002399676,"about_ca_system_score_gemma":0.002932919,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8619803,"about_ca_topic_score_gemma":0.9501696,"domain_scores_codex":[0.9997582,0.00002715327,0.00002597924,0.00004047199,0.00007411114,0.00007404792],"domain_scores_gemma":[0.9994332,0.00007433944,0.0001287415,0.00003109581,0.0002626764,0.00006986049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000787347,0.0002634588,0.6914104,0.0006172613,0.0004326535,0.001184694,0.001019856,0.005486228,0.02532853,0.0002840327,0.06589543,0.20729],"study_design_scores_gemma":[0.00001786236,0.00001995328,0.9922461,0.00003313398,0.00004827674,0.00005165905,0.0004167627,0.000846094,0.001099828,0.000006576204,0.005203195,0.00001059104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642819,0.003421777,0.001380382,0.001401904,0.00008028993,0.00009404039,0.01825327,0.0001656861,0.01092089],"genre_scores_gemma":[0.9615585,0.002999413,0.004314782,0.0003133662,0.00004483584,0.00005752447,0.01815072,0.00005725754,0.01250373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1380197,"threshold_uncertainty_score":0.2776651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1136480056917863,"score_gpt":0.3593937002049839,"score_spread":0.2457456945131976,"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."}}