{"id":"W7008585676","doi":"","title":"Comparing information extraction between
\\ninstance-based data models and relational data
\\nmodels","year":2023,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Memorial University of Newfoundland","keywords":"Complement (music); Representation (politics); Information extraction; Data modeling; Data extraction; Data model (GIS); External Data Representation; Key (lock); Data type; Information model","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":[0.01474371,0.0009578107,0.001018543,0.003662449,0.0005492792,0.004414124,0.001799614,0.001391231,0.001691629],"category_scores_gemma":[0.09166316,0.0006907142,0.002062865,0.00383201,0.0007532301,0.01527919,0.003267398,0.001463327,0.0006608388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001886365,"about_ca_system_score_gemma":0.001319222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003380933,"about_ca_topic_score_gemma":0.003650341,"domain_scores_codex":[0.9904591,0.005017161,0.001368313,0.001208184,0.001703095,0.0002441298],"domain_scores_gemma":[0.8537039,0.130925,0.003802117,0.007477519,0.003563365,0.0005281111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006281653,0.002529165,0.06544095,0.007226688,0.001763787,0.0009575298,0.01641345,0.02254823,0.02528298,0.02791904,0.009649152,0.8139874],"study_design_scores_gemma":[0.001429377,0.004976031,0.09478578,0.002759758,0.00322556,0.002696353,0.01999829,0.6206835,0.109489,0.05658768,0.08256821,0.0008005676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7320619,0.003582131,0.2401256,0.003367646,0.0001700777,0.001896606,0.003974774,0.004639917,0.01018139],"genre_scores_gemma":[0.6638562,0.001853332,0.3232143,0.0007233855,0.00003802963,0.001137007,0.007392087,0.0002871861,0.001498487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01474371,"threshold_uncertainty_score":0.07797307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1551615767785186,"score_gpt":0.3144901047050435,"score_spread":0.1593285279265248,"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."}}