{"id":"W4400224622","doi":"10.1145/3663649.3664375","title":"What Teaching Databases Taught Us about Researching Databases: Extended Talk Abstract","year":2024,"lang":"en","type":"article","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Universitas Brawijaya","keywords":"Computer science; Database; Database theory; Information retrieval; Database design","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":[0.008145443,0.0004508024,0.0006531015,0.001477085,0.002345392,0.009776962,0.0009265732,0.00278871,0.02055711],"category_scores_gemma":[0.02910617,0.0004218905,0.0004987885,0.001472842,0.003281119,0.008540785,0.002978781,0.005321743,0.004348565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004602978,"about_ca_system_score_gemma":0.003375398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003380999,"about_ca_topic_score_gemma":0.003603252,"domain_scores_codex":[0.9965712,0.001687249,0.0001495472,0.000486135,0.0006927688,0.0004131361],"domain_scores_gemma":[0.9747028,0.01614489,0.001001526,0.001083187,0.003581397,0.003486178],"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":[0.0003233064,0.001008152,0.02114592,0.001744406,0.00006687087,0.0008866046,0.09136043,0.001552971,0.005213004,0.1597753,0.363649,0.353274],"study_design_scores_gemma":[0.00005416722,0.0002221184,0.00813239,0.001986102,0.00005916053,0.0007088031,0.04011954,0.001620039,0.003268275,0.07565644,0.8680667,0.0001063449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.09780784,0.03928689,0.07380203,0.5540329,0.0244002,0.0001946041,0.001090825,0.001430693,0.2079541],"genre_scores_gemma":[0.740405,0.02663802,0.0205817,0.0946665,0.008310996,0.00022083,0.000773778,0.0008192883,0.1075839],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02055711,"threshold_uncertainty_score":0.06877035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.243807063382134,"score_gpt":0.4793333524836908,"score_spread":0.2355262891015568,"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."}}