{"id":"W6957869829","doi":"10.60692/chjs9-d6p87","title":"The Segment Anything Model (SAM) for remote sensing applications: From zero to one shot","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Segmentation; Remote sensing application; Field (mathematics); Bounding overwatch; Image segmentation; Minimum bounding box; Software deployment; Adaptability","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001570676,0.001316527,0.000986713,0.000931017,0.0005739329,0.00166944,0.002952494,0.001953014,0.003413472],"category_scores_gemma":[0.004371448,0.0006360539,0.001444483,0.0007507442,0.001027117,0.003115271,0.001614022,0.002384254,0.001453039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103686,"about_ca_system_score_gemma":0.001042675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007546234,"about_ca_topic_score_gemma":0.0127456,"domain_scores_codex":[0.9991934,0.0001780904,0.0000362359,0.0003897183,0.0001305621,0.00007207668],"domain_scores_gemma":[0.9983656,0.0009291046,0.00009582708,0.000308682,0.0002135989,0.00008722027],"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":[0.001063228,0.0003495909,0.005951787,0.0004827883,0.0002085152,0.0004024139,0.0006214579,0.3650127,0.02199746,0.02099509,0.01572979,0.5671852],"study_design_scores_gemma":[0.00001230815,0.00009038539,0.0004636565,0.00002905997,0.00002180751,0.00006933208,0.00006868417,0.9782177,0.004275125,0.01351111,0.003223651,0.00001712628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04263327,0.000423809,0.9439106,0.0007803665,0.0001320808,0.0001840264,0.0007346833,0.007795852,0.003405414],"genre_scores_gemma":[0.4310895,0.0003714273,0.5568361,0.0007876974,0.0001225591,0.0003400271,0.003208338,0.001032727,0.006211632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007546234,"threshold_uncertainty_score":0.01500463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08395335360252199,"score_gpt":0.2442666526435376,"score_spread":0.1603132990410156,"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."}}