{"id":"W3047096992","doi":"10.3390/rs12152486","title":"Proof of Concept for Sea Ice Stage of Development Classification Using Deep Learning","year":2020,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Calgary; University of Manitoba","funders":"","keywords":"Sea ice; Artificial neural network; Arctic; Categorization; Synthetic aperture radar; Arctic ice pack; Computer science; Remote sensing; Geology; Artificial intelligence; Climatology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001325484,0.0007897234,0.0004760841,0.0003453461,0.0002770884,0.0008661704,0.001266026,0.0009651354,0.01164819],"category_scores_gemma":[0.002703223,0.0002523775,0.0005591201,0.0002105152,0.0006415099,0.001295893,0.001265847,0.001646659,0.003036771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000564303,"about_ca_system_score_gemma":0.001573465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002964934,"about_ca_topic_score_gemma":0.003841064,"domain_scores_codex":[0.9993418,0.00007595734,0.0000227065,0.000111461,0.000347874,0.0001001196],"domain_scores_gemma":[0.9991492,0.0002177525,0.00006152625,0.0001239068,0.0003845271,0.00006307741],"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":[0.0009469994,0.001058394,0.005304412,0.001032115,0.0003025706,0.001093132,0.0001067746,0.1531484,0.1021178,0.091191,0.09304104,0.5506575],"study_design_scores_gemma":[0.0002424478,0.0005114989,0.001179415,0.00009733578,0.00003726729,0.0005165081,0.000049326,0.9053006,0.03812057,0.01956563,0.03433321,0.00004622376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0185237,0.0007295156,0.9548898,0.00190595,0.001247822,0.0005776174,0.0009505295,0.006266442,0.01490855],"genre_scores_gemma":[0.4371173,0.000911713,0.5388486,0.001763447,0.0002987917,0.001605246,0.002656081,0.0005173993,0.01628146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01164819,"threshold_uncertainty_score":0.03896701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04499805701483151,"score_gpt":0.2474443498731874,"score_spread":0.2024462928583559,"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."}}