{"id":"W7132672313","doi":"","title":"A sensor fusion platform for semantic segmentation of sea ice imagery","year":2025,"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":"Natural Sciences and Engineering Research Council of Canada; Universities Space Research Association","keywords":"Sea ice; Segmentation; Sensor fusion; Arctic; Shore; Field (mathematics); Ice field","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0005398222,0.0009495975,0.0005610425,0.001150815,0.0005993056,0.0006800143,0.0009641346,0.0007832895,0.002809917],"category_scores_gemma":[0.0007236559,0.000393152,0.0006459979,0.00109292,0.0004484798,0.001133116,0.001249896,0.0009250331,0.001671182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000814728,"about_ca_system_score_gemma":0.00083406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01391764,"about_ca_topic_score_gemma":0.02257671,"domain_scores_codex":[0.9996518,0.00002433745,0.00001449684,0.0001492357,0.000111492,0.0000485209],"domain_scores_gemma":[0.999841,0.00002163277,0.00001610588,0.00003471833,0.00006552559,0.0000210489],"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":[0.001274637,0.0007867086,0.007706067,0.0005766083,0.0003944508,0.0005817803,0.0006908572,0.09670641,0.2150225,0.003975158,0.06192261,0.6103622],"study_design_scores_gemma":[0.0000847862,0.0002462949,0.01492877,0.00004633656,0.00006882611,0.0002374609,0.0003119723,0.8665559,0.08017502,0.006166466,0.03108717,0.00009093247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1891639,0.001143186,0.6659333,0.0004876266,0.0005586171,0.0009294655,0.02462411,0.1039514,0.01320842],"genre_scores_gemma":[0.4506329,0.0003811174,0.4899319,0.0003026978,0.00008970479,0.0005239815,0.0510798,0.001011838,0.006046052],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01391764,"threshold_uncertainty_score":0.02767324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135264205568078,"score_gpt":0.233539661440857,"score_spread":0.2221870193851762,"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."}}