{"id":"W4400893487","doi":"10.1016/j.rse.2024.114313","title":"River ice breakup classification using dual- (HH&amp;HV) or compact-polarization RADARSAT Constellation Mission data","year":2024,"lang":"en","type":"article","venue":"Remote Sensing of Environment","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Remote sensing; Constellation; Breakup; Environmental science; Synthetic aperture radar; Geology; Physics; Astronomy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024188,0.0001350027,0.0001619283,0.00004267926,0.0002062077,0.00005171091,0.00008583234,0.00006561835,0.0004673504],"category_scores_gemma":[0.00003769862,0.0001100884,0.0000349264,0.000197909,0.0001348552,0.000229264,0.00003252172,0.00009228138,0.00006643591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003658637,"about_ca_system_score_gemma":0.00004989436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002669255,"about_ca_topic_score_gemma":0.0001389283,"domain_scores_codex":[0.9987868,0.00007096637,0.0003123439,0.0003487293,0.0003158847,0.0001652588],"domain_scores_gemma":[0.9991673,0.0002102921,0.0001266496,0.0004166454,0.00001499845,0.00006415728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009847674,0.00003416818,0.01194026,0.0001513024,0.0001379703,0.00002302408,0.001105623,0.1088621,0.02197864,0.00002169374,0.002505859,0.8531409],"study_design_scores_gemma":[0.0001048594,0.00002268559,0.09394813,0.0001217849,0.00007405385,0.00002554765,0.0001685462,0.8123978,0.0001152017,0.0000577145,0.09283718,0.0001264601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9336854,0.002294088,0.06060458,0.0009893422,0.0006972564,0.000374622,0.0001919786,0.00007632343,0.001086422],"genre_scores_gemma":[0.9457265,0.001008222,0.05139148,0.0000771838,0.000162557,5.381565e-10,0.001176372,0.00001128141,0.0004463921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8530145,"threshold_uncertainty_score":0.5117159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1265338173823618,"score_gpt":0.2831649032955866,"score_spread":0.1566310859132248,"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."}}