{"id":"W7132591619","doi":"","title":"Operational monitoring of river ice on the Churchill River, Labrador","year":2021,"lang":"en","type":"article","venue":"NPARC","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sea ice; Sea ice thickness; Synthetic aperture radar; Drift ice; Slush; Flood myth; Satellite imagery; Satellite; Cryosphere","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004291338,0.0002178157,0.0001809879,0.001102924,0.0009595384,0.0009272185,0.0007244052,0.0002163841,0.001769024],"category_scores_gemma":[0.0006877276,0.0001410132,0.0001407591,0.001062997,0.0003507747,0.0003558392,0.0005242539,0.000380966,0.0004746362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003922287,"about_ca_system_score_gemma":0.004201358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6616635,"about_ca_topic_score_gemma":0.8943955,"domain_scores_codex":[0.9995112,0.00004627273,0.00002001815,0.0001112681,0.0002219359,0.0000892548],"domain_scores_gemma":[0.9990741,0.00006001076,0.0001619198,0.00004637811,0.0005203773,0.000137184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000390196,0.0002766115,0.7127758,0.0003871089,0.0001696589,0.001052229,0.003505348,0.005051419,0.03398944,0.0009956495,0.04007196,0.2013346],"study_design_scores_gemma":[0.00002137479,0.0001491947,0.9448203,0.00009165601,0.00003285935,0.0001237827,0.002024954,0.004373106,0.004503431,0.00004589919,0.04377236,0.00004102212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467859,0.0007992497,0.002481487,0.0004335424,0.00003287884,0.0002955934,0.01601217,0.0004829291,0.03267645],"genre_scores_gemma":[0.9564388,0.0006677199,0.00907181,0.0002626453,0.00002216396,0.0001787401,0.01316927,0.0001264357,0.02006245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6616635,"threshold_uncertainty_score":0.6806581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460885090927015,"score_gpt":0.2107375442577625,"score_spread":0.1961286933484923,"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."}}