{"id":"W4401857458","doi":"10.3390/hydrology11080126","title":"Review of River Ice Observation and Data Analysis Technologies","year":2024,"lang":"en","type":"article","venue":"Hydrology","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Centre For Cold Ocean Resources Engineering","funders":"Government of Canada","keywords":"Geology; Hydrology (agriculture); Remote sensing; Physical geography; Geography; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001462895,0.0008092345,0.0008097848,0.004581199,0.0003072207,0.001328401,0.001089591,0.0006407315,0.002760875],"category_scores_gemma":[0.003556968,0.0004007115,0.000893871,0.005921572,0.0003576879,0.002265557,0.0006043642,0.0006240749,0.001373788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005012266,"about_ca_system_score_gemma":0.001824955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003024697,"about_ca_topic_score_gemma":0.002620532,"domain_scores_codex":[0.999189,0.0001320258,0.0001602391,0.0001700598,0.000303962,0.00004479588],"domain_scores_gemma":[0.997548,0.001387114,0.000216733,0.00009889225,0.0007111908,0.00003795143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005821288,0.00003378926,0.001697345,0.0225556,0.0001513562,0.0001998885,0.0001452518,0.001886787,0.002261654,0.004116974,0.03392708,0.932966],"study_design_scores_gemma":[0.0000101726,0.00007832023,0.005772981,0.01140281,0.0003094917,0.000681836,0.0002168989,0.0020465,0.003391662,0.004546091,0.971465,0.00007829222],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002043477,0.972903,0.01401587,0.0008541247,0.0006952221,0.00006136917,0.001542131,0.000181748,0.007702977],"genre_scores_gemma":[0.007882032,0.9744686,0.01259908,0.0005027655,0.0008044972,0.00006554049,0.002239009,0.00005788343,0.001380589],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004581199,"threshold_uncertainty_score":0.009236097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03153031686177611,"score_gpt":0.2643235714345819,"score_spread":0.2327932545728058,"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."}}