{"id":"W4402260955","doi":"10.62973/09-031r1","title":"OWS-6 SWE Information Model Engineering Report","year":2009,"lang":"en","type":"report","venue":"","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Resources Canada; Joint Program Executive Office for Chemical, Biological, Radiological and Nuclear Defense; National Geospatial-Intelligence Agency; European Commission","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002643932,0.001549309,0.001419202,0.002424109,0.0009837413,0.002494856,0.001420907,0.001160878,0.09055443],"category_scores_gemma":[0.008117652,0.0005483859,0.001225775,0.00220281,0.0004928762,0.004107649,0.001424471,0.002368825,0.04324821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001438357,"about_ca_system_score_gemma":0.002906011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01729662,"about_ca_topic_score_gemma":0.008982737,"domain_scores_codex":[0.9981498,0.0002030135,0.00007746858,0.0001780559,0.001243078,0.0001487187],"domain_scores_gemma":[0.996217,0.0008930723,0.00008679003,0.001175618,0.001451847,0.0001756678],"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":[0.0004096012,0.0003882013,0.00112335,0.0002927672,0.000086364,0.0002114161,0.0001431511,0.02652732,0.009609,0.1549146,0.6113611,0.1949332],"study_design_scores_gemma":[0.000181708,0.0001669458,0.001578575,0.0001344313,0.00008545724,0.0002925667,0.0001018616,0.1542518,0.05140086,0.06527639,0.7264292,0.0001001819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0109726,0.000776865,0.4519464,0.005806566,0.002236934,0.0009817142,0.09767212,0.01818943,0.4114174],"genre_scores_gemma":[0.08993335,0.002586358,0.2931308,0.0006358886,0.0008810969,0.0008827621,0.223655,0.00883944,0.3794554],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09055443,"threshold_uncertainty_score":0.3029348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02444091516282433,"score_gpt":0.3039772584086914,"score_spread":0.2795363432458671,"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."}}