{"id":"W2024493099","doi":"10.1107/s0108767300026416","title":"An Environment for Searching and Mining Multiple Structural Databases","year":2000,"lang":"en","type":"article","venue":"Acta Crystallographica Section A Foundations of Crystallography","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Database; Computer science; Information retrieval","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003783623,0.0002721367,0.000305733,0.0006714865,0.0007225861,0.0001343522,0.0003869682,0.00007420079,0.00007795278],"category_scores_gemma":[0.00005171678,0.0002698443,0.0001795501,0.0007103616,0.0004040523,0.002642697,0.0001020205,0.000139453,1.121541e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000164395,"about_ca_system_score_gemma":0.0000380337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001856339,"about_ca_topic_score_gemma":0.0002449767,"domain_scores_codex":[0.9979406,0.0001356987,0.0005177595,0.0007015944,0.0003179863,0.0003863387],"domain_scores_gemma":[0.9982745,0.000326922,0.0002230679,0.0008830008,0.0001014529,0.0001910324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006486995,0.001010064,0.06849141,0.0006767563,0.0009069261,0.00001262969,0.005524895,0.006986815,0.6755337,0.08427154,0.0005492981,0.1553873],"study_design_scores_gemma":[0.002747131,0.001329109,0.06321476,0.0001280984,0.0001011289,0.0001486642,0.001322876,0.0488396,0.0002331776,0.003737367,0.8769562,0.001241848],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5016705,0.00009022519,0.4970973,0.0001307608,0.0001035658,0.0004770843,0.0001867484,0.0001546426,0.00008919366],"genre_scores_gemma":[0.7544898,0.0001492255,0.2448468,0.0000429233,0.00005927282,0.0001060803,0.0002718346,0.00001908027,0.00001503396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8764069,"threshold_uncertainty_score":0.9999754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191286097734606,"score_gpt":0.2738990056233544,"score_spread":0.2547703958498938,"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."}}