{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001832657,0.001416963,0.001460759,0.005009923,0.001008591,0.004921597,0.003122412,0.001340519,0.01959971],"category_scores_gemma":[0.008553331,0.0009351439,0.001409511,0.005462175,0.0006218918,0.004025962,0.003970914,0.001683193,0.005519096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009560716,"about_ca_system_score_gemma":0.001386092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006613059,"about_ca_topic_score_gemma":0.009162486,"domain_scores_codex":[0.9989502,0.0002051091,0.0001575821,0.0002504238,0.0003658664,0.00007095745],"domain_scores_gemma":[0.9958718,0.001447334,0.0002141085,0.001441124,0.0004857323,0.0005397403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002446318,0.0005398673,0.005997661,0.002017998,0.0003451412,0.001003475,0.00113465,0.02086944,0.01968046,0.06750485,0.4355698,0.4428903],"study_design_scores_gemma":[0.001137927,0.0003121275,0.003881418,0.000445364,0.0003782849,0.001118766,0.0008035565,0.2532383,0.02811725,0.1981099,0.5121552,0.0003019861],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.0183889,0.001617734,0.6354569,0.00239057,0.0004405765,0.0005670493,0.08376101,0.2471425,0.01023479],"genre_scores_gemma":[0.1315088,0.002469161,0.7056379,0.001158015,0.0002128244,0.001046135,0.1310984,0.01807624,0.008792643],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01959971,"threshold_uncertainty_score":0.06556755,"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."}}