{"id":"W2041921405","doi":"10.1109/icices.2014.7033897","title":"Efficient mining and recommendation of sparse data through collaborative filtering technique in medical transcriptions","year":2014,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"New York Institute of Technology","funders":"","keywords":"Login; Computer science; Recommender system; Collaborative filtering; Focus (optics); Selection (genetic algorithm); Information retrieval; Cloud computing; Data mining; World Wide Web; Machine learning; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001132926,0.0000820687,0.0001721084,0.00009269891,0.00003999133,0.00003903796,0.0005119771,0.00006732968,0.0000244681],"category_scores_gemma":[0.00006675113,0.00007038593,0.00001094897,0.0003336686,0.00003431582,0.000259215,0.0002864879,0.0000710871,3.92163e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001525188,"about_ca_system_score_gemma":0.00003856291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001591167,"about_ca_topic_score_gemma":0.0002305443,"domain_scores_codex":[0.9989796,0.0001476624,0.0003250336,0.0002983769,0.0001293904,0.0001199734],"domain_scores_gemma":[0.999276,0.0001226062,0.00007839049,0.0004427826,0.00003950125,0.0000407421],"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":[0.00002210579,0.0007037151,0.002990249,0.0003210549,0.00005856213,0.0000112627,0.01616043,0.00006320526,0.01849491,0.367457,0.01268977,0.5810277],"study_design_scores_gemma":[0.0009638629,0.0003288584,0.001407222,0.0005869518,0.000007491594,0.00007003107,0.0008111645,0.9153986,0.02681613,0.004560509,0.04860098,0.000448196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005304495,0.00002117717,0.9865249,0.002041344,0.00008762889,0.0002474033,0.000007431931,0.00009214065,0.005673518],"genre_scores_gemma":[0.700068,0.00002053658,0.2997411,0.0001057274,0.00001136417,0.00003300489,0.00000969994,0.000003587193,0.000006971719],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9153354,"threshold_uncertainty_score":0.2870255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05388937393772385,"score_gpt":0.3143921078122524,"score_spread":0.2605027338745285,"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."}}