{"id":"W3168171400","doi":"10.4103/ijo.ijo_514_21","title":"Big data and artificial intelligence - Tools to be future ready?","year":2021,"lang":"en","type":"article","venue":"Indian Journal of Ophthalmology","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Big data; Data science; Computer science; Social media; Data type; The Internet; Variety (cybernetics); Process (computing); Unstructured data; Volume (thermodynamics); Field (mathematics); World Wide Web; Data mining; Artificial intelligence","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":[0.02186446,0.001857353,0.002759497,0.005101568,0.002878843,0.0198625,0.003701854,0.01019961,0.00956345],"category_scores_gemma":[0.03008244,0.0009215878,0.0009535276,0.007205417,0.01529766,0.055853,0.007793671,0.01713114,0.005194996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004841142,"about_ca_system_score_gemma":0.007564215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001702684,"about_ca_topic_score_gemma":0.001339453,"domain_scores_codex":[0.9807746,0.01000802,0.001020089,0.001240406,0.006089061,0.0008678708],"domain_scores_gemma":[0.9540511,0.03299064,0.001442498,0.003402059,0.005274335,0.002839435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009309242,0.0000868124,0.0009974733,0.002530223,0.00009382184,0.0001693144,0.001103945,0.0007080103,0.0003483708,0.4997309,0.2863283,0.2078099],"study_design_scores_gemma":[0.00001498649,0.0000367124,0.0003932609,0.002995454,0.00001749627,0.0001459285,0.001261847,0.0007167818,0.0001284258,0.4830519,0.5111871,0.00005010005],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0009075026,0.4100453,0.02371947,0.5203546,0.01890264,0.0001160976,0.0004818855,0.0006074096,0.02486518],"genre_scores_gemma":[0.0498069,0.664682,0.06651819,0.1475103,0.05302621,0.0004804014,0.001480269,0.0004521421,0.01604368],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02186446,"threshold_uncertainty_score":0.1156317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1666307517409764,"score_gpt":0.3825081684887194,"score_spread":0.215877416747743,"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."}}