{"id":"W6950464730","doi":"10.5446/53310","title":"Talking to spaceborne RADAR: Sentinel1 data processing","year":2021,"lang":"en","type":"other","venue":"TIB KMO / FLOWWORKS GmbH","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data processing; Synthetic aperture radar; Radar; Software; Signal processing; Software deployment; Context (archaeology); Earth observation; Processing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001034039,0.001341788,0.001494198,0.0009597819,0.0002380149,0.0007623821,0.002856573,0.001045105,0.02034931],"category_scores_gemma":[0.0004930882,0.001438237,0.000210364,0.002375654,0.0001604164,0.0002829793,0.003021365,0.001407203,0.01190687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000300908,"about_ca_system_score_gemma":0.0006463367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004785669,"about_ca_topic_score_gemma":0.002314383,"domain_scores_codex":[0.9930646,0.00027784,0.0007804519,0.002801472,0.00146485,0.001610792],"domain_scores_gemma":[0.9933072,0.00008877798,0.0007066508,0.005109504,0.000182062,0.0006058079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004363896,0.0001511875,0.0001376627,0.0005876726,0.0002951459,0.0004432735,0.0001714984,0.00002938453,0.00102371,0.00003899929,0.96513,0.0319478],"study_design_scores_gemma":[0.0007816497,0.00001685142,0.0001262179,0.006968215,0.0003160524,0.00008631279,0.000139566,0.00107627,0.0001084586,0.00001922528,0.9887159,0.001645224],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001238012,0.02363343,0.008054431,0.0007414413,0.002486672,0.002005475,0.002008191,0.003155929,0.9577906],"genre_scores_gemma":[0.000918976,0.0001390039,0.05039141,0.0005760497,0.006625282,0.00007615003,0.0105735,0.007440823,0.9232588],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04233698,"threshold_uncertainty_score":0.9999333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04886001249336096,"score_gpt":0.3219550359323763,"score_spread":0.2730950234390154,"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."}}