{"id":"W2215860650","doi":"10.1504/ijbdi.2015.070597","title":"Unstructured data mining: use case for CouchDB","year":2015,"lang":"en","type":"article","venue":"International Journal of Big Data Intelligence","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Mitacs","keywords":"NoSQL; Computer science; Semi-structured data; Unstructured data; Database; Append; Storage model; Relational database; Big data; Relational database management system; Data mining; Information retrieval; Data science; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.001104695,0.0001310367,0.0001714068,0.0001826046,0.00006030107,0.0006901196,0.01075168,0.00004837808,0.000006067055],"category_scores_gemma":[0.001737461,0.0001130618,0.00003776314,0.0002136895,0.00007558167,0.003284123,0.002404793,0.0001495203,0.00001251549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005750417,"about_ca_system_score_gemma":0.0004064577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009281583,"about_ca_topic_score_gemma":0.00005613086,"domain_scores_codex":[0.998105,0.00003267076,0.0006294092,0.0004406165,0.0006176372,0.0001746039],"domain_scores_gemma":[0.995622,0.0003984052,0.0005096206,0.002041116,0.001214373,0.0002144843],"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":[0.00002852128,0.00008004662,0.00008921429,0.000002925079,0.0001139928,0.0006580077,0.0002962612,0.0001191827,0.00003373489,0.004723037,0.06281628,0.9310388],"study_design_scores_gemma":[0.0004165287,0.0001521089,0.00005047309,0.00007661673,0.00003978828,0.01573718,0.0004255878,0.5276442,0.0007520785,0.003952853,0.4504905,0.0002621909],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001653427,0.0001603619,0.9895169,0.001792431,0.003541765,0.00009441769,0.003170023,0.00002218633,0.00004846613],"genre_scores_gemma":[0.181352,0.00009427936,0.8161466,0.0003915185,0.001263594,0.000003455619,0.0006527897,0.00001302031,0.00008268427],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9307766,"threshold_uncertainty_score":0.9946007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4767861738691988,"score_gpt":0.4121020276593292,"score_spread":0.06468414620986962,"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."}}