{"id":"W2033301070","doi":"10.1145/1107499.1107519","title":"Christos Faloutsos speaks out","year":2005,"lang":"en","type":"article","venue":"ACM SIGMOD Record","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Very large database; Computer science; Library science; Database; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001695461,0.0009089793,0.0006588525,0.001256161,0.004575419,0.004163679,0.0008529949,0.002272008,0.1157567],"category_scores_gemma":[0.007347736,0.0003868321,0.0004100824,0.0008306701,0.001070809,0.003479598,0.002696964,0.00466439,0.07264654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00132534,"about_ca_system_score_gemma":0.002959927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006713653,"about_ca_topic_score_gemma":0.01217445,"domain_scores_codex":[0.9985083,0.0001905527,0.00005204912,0.0002803383,0.0006848115,0.0002840232],"domain_scores_gemma":[0.9947487,0.000620124,0.0002576186,0.0001447106,0.001318221,0.002910797],"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":[0.00001277723,0.000008029081,0.0001151344,0.00002096986,9.697651e-7,0.00006887291,0.0001164288,0.000008732866,0.0000918622,0.0009268138,0.9864706,0.01215883],"study_design_scores_gemma":[0.000002250349,0.000007202008,0.0001049788,0.00003181881,9.657755e-7,0.0001496523,0.0004464517,0.00001506862,0.00006363347,0.0004347289,0.9987379,0.000005424305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002944902,0.03254112,0.003120747,0.5449676,0.2473729,0.0001000486,0.001113431,0.002109113,0.1657301],"genre_scores_gemma":[0.02213069,0.01723457,0.002112233,0.1159029,0.04112824,0.0001016773,0.000623235,0.001180092,0.7995864],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1157567,"threshold_uncertainty_score":0.3872447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02296878735220468,"score_gpt":0.2434831067099527,"score_spread":0.220514319357748,"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."}}