{"id":"W4389206062","doi":"10.22215/etd/2023-15793","title":"Self-supervised Pretraining of Vision Transformers for Earth Observation","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Artificial intelligence; Transformer; Modal; Machine learning; Flexibility (engineering); Engineering; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002071197,0.0002368542,0.0003030453,0.0002369925,0.0000455619,0.00003432409,0.00009515029,0.0003474304,0.00001505149],"category_scores_gemma":[0.0000688975,0.0002551599,0.0001557312,0.0003267388,0.000009118756,0.0001928149,0.000001830158,0.0001622336,0.00001886136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005413692,"about_ca_system_score_gemma":0.0000523592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008876767,"about_ca_topic_score_gemma":0.0001070552,"domain_scores_codex":[0.9988028,0.00001383836,0.0004892848,0.0002400617,0.000242791,0.0002111545],"domain_scores_gemma":[0.9993649,0.0001290573,0.00008975907,0.0001694107,0.0002029013,0.00004403906],"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":[0.0001059279,0.00004546317,0.00002970371,0.008139613,0.0002875866,0.000001034255,0.007319028,0.00331142,0.4159821,0.0001926519,0.001966581,0.5626189],"study_design_scores_gemma":[0.0004049535,0.0000740552,0.005501498,0.000305387,0.00009253991,3.505643e-7,0.001219151,0.9420912,0.04892079,0.00005886597,0.001037654,0.0002936138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7942418,0.0002121773,0.1512453,0.00009171082,0.00419668,0.003580751,0.00008729486,0.004245878,0.04209835],"genre_scores_gemma":[0.6586474,0.00075507,0.3028665,0.00002751093,0.000357053,0.0001503165,0.01520967,0.0008289068,0.02115764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9387797,"threshold_uncertainty_score":0.99999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0289264381004346,"score_gpt":0.2693168084469703,"score_spread":0.2403903703465357,"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."}}