{"id":"W6907316777","doi":"10.18739/a2gm81q8f","title":"Buildings and roads detected from 0.5 meter resolution Maxar satellite imagery, Alaskan communities, 2018-2023","year":2024,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"Automated Road and Building Extraction","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Footprint; Satellite imagery; Arctic; Terrain; Land cover; Satellite; Global Positioning System; Pipeline (software); Impervious surface","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0002307394,0.0003457967,0.000131527,0.001787847,0.0003892729,0.000383353,0.0002760173,0.000241093,0.002315864],"category_scores_gemma":[0.0005844752,0.0001436231,0.0002183399,0.001390289,0.0001814193,0.0004767328,0.000571084,0.0002770567,0.001770345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000497886,"about_ca_system_score_gemma":0.000932282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1143221,"about_ca_topic_score_gemma":0.2340949,"domain_scores_codex":[0.9998366,0.000009096787,0.000009360487,0.00005797341,0.00005701004,0.00002992489],"domain_scores_gemma":[0.9998057,0.00001532719,0.00002202738,0.00002846442,0.0001024212,0.00002607413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003461813,0.0002247139,0.4029664,0.0005525165,0.0001351433,0.001113855,0.001964546,0.02550281,0.01187305,0.001215492,0.1477302,0.406375],"study_design_scores_gemma":[0.00003994838,0.00008121222,0.7269765,0.0003154936,0.0001742577,0.0006499856,0.004460302,0.09876531,0.02003236,0.00157985,0.1468395,0.00008537599],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.848961,0.0009127397,0.0080018,0.0003919607,0.00009730052,0.0000929559,0.110399,0.008127523,0.02301571],"genre_scores_gemma":[0.775873,0.0006192715,0.02606368,0.0001189129,0.00005259886,0.0001023762,0.1869036,0.0003430331,0.009923438],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1143221,"threshold_uncertainty_score":0.2273133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007078650590423778,"score_gpt":0.184570509724817,"score_spread":0.1774918591343932,"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."}}