{"id":"W134324659","doi":"","title":"The ESA GML Application Schema for EO Products: extension to new product types","year":2010,"lang":"en","type":"article","venue":"EGUGA","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Metadata; Computer science; Data access; Database; Ground segment; World Wide Web; Engineering; Satellite","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":[0.004404709,0.001069438,0.000785928,0.00527895,0.000876301,0.004269479,0.002156443,0.002174767,0.0184126],"category_scores_gemma":[0.00747483,0.0007888746,0.001549247,0.006341586,0.0009060273,0.006053539,0.003118206,0.00227349,0.01819264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001933044,"about_ca_system_score_gemma":0.002562817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008047518,"about_ca_topic_score_gemma":0.007588713,"domain_scores_codex":[0.9974728,0.0005378394,0.0006922359,0.0003158937,0.0008039189,0.0001771481],"domain_scores_gemma":[0.9950713,0.0009339082,0.0004128036,0.001662761,0.001683894,0.0002354836],"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":[0.0005355875,0.0002502086,0.007018278,0.001941138,0.000119925,0.001190649,0.00258434,0.006659415,0.01342047,0.2751263,0.4863115,0.2048422],"study_design_scores_gemma":[0.00001903539,0.00001227077,0.0008796692,0.0001914536,0.00001390986,0.0002665909,0.0001370247,0.002633076,0.001499194,0.009063478,0.9852595,0.00002471004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01514201,0.001821007,0.5677977,0.005017969,0.001798577,0.001726902,0.2288735,0.02616995,0.1516524],"genre_scores_gemma":[0.05556768,0.003423597,0.5734003,0.003559092,0.0004682811,0.002309341,0.3038631,0.009312629,0.04809606],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0184126,"threshold_uncertainty_score":0.06159627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547054535499543,"score_gpt":0.3040788082086003,"score_spread":0.2886082628536049,"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."}}