{"id":"W4387496567","doi":"10.3390/rs15204896","title":"An Automated System to Monitor River Ice Conditions Using Visible Infrared Imaging Radiometer Suite Imagery","year":2023,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Water Center, United Arab Emirates University; National Oceanic and Atmospheric Administration; National Aeronautics and Space Administration","keywords":"Remote sensing; Snow; Environmental science; Visible Infrared Imaging Radiometer Suite; Satellite imagery; Satellite; Geology; Meteorology; Geography","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":[0.0003498899,0.0004791211,0.0002338777,0.001157107,0.0003357817,0.0004467149,0.0005653481,0.0002846962,0.001284812],"category_scores_gemma":[0.0004646195,0.0001824094,0.0002007969,0.0005765088,0.0001742123,0.0004656083,0.0005050162,0.000304149,0.0007337438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005798573,"about_ca_system_score_gemma":0.001229242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0337126,"about_ca_topic_score_gemma":0.07402936,"domain_scores_codex":[0.9998241,0.0000158038,0.00000596335,0.00006010314,0.00006443656,0.00002957075],"domain_scores_gemma":[0.9997666,0.00002764183,0.00003711054,0.00003511683,0.0001143269,0.00001923035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003139235,0.0004855836,0.06691361,0.0001721385,0.0001852439,0.0001714545,0.00036247,0.03890045,0.09630487,0.001871541,0.0193333,0.7749854],"study_design_scores_gemma":[0.00006964047,0.0001545003,0.06749159,0.00003597734,0.00006935905,0.0001351715,0.0001839021,0.8683743,0.04756217,0.001639684,0.01422322,0.00006047515],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4134096,0.0002899292,0.5300169,0.000268864,0.0001364353,0.0005997031,0.006704784,0.03020049,0.01837331],"genre_scores_gemma":[0.7465465,0.0001167457,0.2432847,0.0001899469,0.00003671381,0.0002223767,0.004070842,0.000233549,0.005298483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0337126,"threshold_uncertainty_score":0.06703275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392119308658938,"score_gpt":0.2660999099340925,"score_spread":0.2521787168475031,"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."}}