{"id":"W4214752466","doi":"10.1007/978-0-387-39940-9_2261","title":"Conceptual Modeling for Spatio-Temporal Applications","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Cognitive science; Psychology","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":[0.001750931,0.001531722,0.001105487,0.001496381,0.0008237915,0.00508409,0.004015996,0.001686271,0.01017475],"category_scores_gemma":[0.004065467,0.0009424624,0.002198232,0.003431086,0.001458832,0.00665193,0.002183066,0.002682213,0.003465371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001841848,"about_ca_system_score_gemma":0.001719564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009941599,"about_ca_topic_score_gemma":0.007700291,"domain_scores_codex":[0.998792,0.0003640473,0.0001866482,0.0002172785,0.00037099,0.00006901526],"domain_scores_gemma":[0.9987399,0.0005399216,0.0000747913,0.0003100992,0.0002681012,0.00006726228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002008585,0.00003924441,0.0002209749,0.0003457401,0.00004820391,0.0001658422,0.0004536588,0.02814583,0.0008189364,0.8937598,0.01183942,0.06414229],"study_design_scores_gemma":[0.00001303073,0.00001639056,0.0001244697,0.0001772808,0.00005306735,0.000255508,0.0002075164,0.2130135,0.0008380634,0.6396642,0.1456106,0.00002629862],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001067896,0.002474,0.9875898,0.0006189477,0.0001331277,0.0000677752,0.0005440608,0.0007781964,0.006726176],"genre_scores_gemma":[0.07574496,0.007245232,0.8978757,0.000353208,0.0002752917,0.0004631051,0.003292509,0.0005157656,0.01423429],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01017475,"threshold_uncertainty_score":0.03403795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03205907861017605,"score_gpt":0.2537990918078484,"score_spread":0.2217400131976723,"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."}}