{"id":"W2981442932","doi":"10.4095/219696","title":"Data Quality Requirements for Future SAR","year":2000,"lang":"en","type":"report","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Quality (philosophy); Computer science; Data quality; Remote sensing; Geology; Engineering; Operations management; Physics","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":[0.01337338,0.0003595546,0.0007298792,0.002027018,0.001071817,0.003251304,0.001582636,0.001489402,0.006737359],"category_scores_gemma":[0.05741515,0.0003890416,0.0004933815,0.002106174,0.0008643373,0.003328511,0.002052597,0.0012523,0.002317269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040873,"about_ca_system_score_gemma":0.001701118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00331434,"about_ca_topic_score_gemma":0.001766781,"domain_scores_codex":[0.9864749,0.002028562,0.001480561,0.0007276355,0.008511343,0.0007769947],"domain_scores_gemma":[0.9160771,0.03092323,0.005168673,0.006624749,0.03930843,0.001897824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001025576,0.0004141864,0.05210572,0.001746205,0.0001457114,0.001820424,0.002394156,0.1409261,0.06007225,0.1573035,0.05160378,0.5304424],"study_design_scores_gemma":[0.0003779187,0.001683317,0.07249738,0.001006326,0.0002072141,0.00995132,0.003362399,0.2114532,0.07959504,0.1718578,0.4476131,0.0003950539],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1859356,0.007666346,0.6723949,0.01757689,0.0006872248,0.0008901564,0.005953802,0.003330917,0.1055641],"genre_scores_gemma":[0.7311445,0.003865906,0.2419496,0.002245656,0.000861769,0.000682633,0.01000617,0.0008593577,0.008384419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01337338,"threshold_uncertainty_score":0.07072604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8194886233788209,"score_gpt":0.622003661711994,"score_spread":0.1974849616668269,"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."}}