{"id":"W4293791092","doi":"10.3390/app12168248","title":"Big Data Analysis and Visualization: Challenges and Solutions","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Big data; Computer science; Visualization; Data science; Core (optical fiber); Data mining; Telecommunications","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003043071,0.00007669809,0.0001612153,0.0004618765,0.001798238,0.0002440838,0.00178918,0.00002655811,0.00008614869],"category_scores_gemma":[0.000196326,0.00005827355,0.00001647164,0.003419887,0.0007646058,0.000197968,0.003541066,0.00008097163,0.000009324652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000738773,"about_ca_system_score_gemma":0.00003903377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002206432,"about_ca_topic_score_gemma":0.0002302679,"domain_scores_codex":[0.9978769,0.00004916139,0.0002398879,0.0008546884,0.0007856081,0.0001937154],"domain_scores_gemma":[0.9983444,0.0004717351,0.0001236036,0.0009801276,0.00002660013,0.00005356766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001149191,0.00002599244,0.000595426,9.235396e-7,0.00001973575,2.612732e-7,0.0002735432,0.00005289173,0.0001661815,0.4830976,0.002575342,0.5131909],"study_design_scores_gemma":[0.0002006823,0.00008269944,0.02779619,0.000001513881,0.0001545444,0.00001478685,0.04079494,0.02486417,0.00008580273,0.3798711,0.5257797,0.000353884],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3162201,0.09438035,0.2875185,0.2174772,0.001073831,0.002261555,0.003169026,0.001347433,0.07655205],"genre_scores_gemma":[0.9954421,0.002247188,0.001974285,0.0001472603,0.00002531994,0.00005972054,0.00002763025,0.000002348684,0.00007418242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.679222,"threshold_uncertainty_score":0.9995013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6092219036420985,"score_gpt":0.4256557969394003,"score_spread":0.1835661067026982,"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."}}