{"id":"W1997073309","doi":"10.1142/9781860947322_0004","title":"A GRAPH DATABASE WITH VISUAL QUERIES FOR GENOMICS","year":2005,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Graph database; Graph; Information retrieval; Theoretical computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0000864235,0.00006498722,0.0000649091,0.00005637137,0.00007013609,0.0001443542,0.0002989679,0.0000131107,0.00002428435],"category_scores_gemma":[0.00001074067,0.0000486237,0.00001972167,0.0001801906,0.00002645581,0.0005860746,0.00008623899,0.00002024164,0.00002534964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001095892,"about_ca_system_score_gemma":0.00005384616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006488184,"about_ca_topic_score_gemma":0.00009834408,"domain_scores_codex":[0.9994998,0.000006635931,0.00009663652,0.0001783769,0.0000908106,0.0001277192],"domain_scores_gemma":[0.9995874,0.00002350509,0.0000302684,0.000248007,0.00005310309,0.00005777932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000105864,0.000105523,0.0001779625,0.00001250891,0.00001837583,0.000001478342,0.0002148037,0.0001865129,0.0003310772,0.9669041,0.01759022,0.01444685],"study_design_scores_gemma":[0.0005219598,0.0001251381,0.00004967619,0.000006432524,0.000008182423,0.000007733885,0.00007818047,0.5287901,0.005045445,0.0005259808,0.4646402,0.0002009969],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001467296,0.00001340663,0.9964753,0.000828549,0.00002812927,0.00008281152,0.00002020333,0.0001085071,0.0009757567],"genre_scores_gemma":[0.07779337,0.00003608454,0.9137555,0.004852169,0.0001381818,0.00001717133,0.0001550401,0.00001406638,0.003238368],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9663782,"threshold_uncertainty_score":0.1982817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02045042774563251,"score_gpt":0.3003532723753062,"score_spread":0.2799028446296737,"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."}}