{"id":"W4319438934","doi":"10.2196/43316","title":"Web-Based Patient Recommender Systems for Preventive Care: Protocol for Empirical Research Propositions","year":2023,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recommender system; Computer science; Relevance (law); Empirical research; Software deployment; Popularity; Health care; Knowledge management; Data science; World Wide Web; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007875244,0.0003027128,0.0004248189,0.001206232,0.001536944,0.001255423,0.00197246,0.0002952934,0.00001265207],"category_scores_gemma":[0.0003809128,0.0002468191,0.0002650335,0.002587425,0.0001927979,0.000513994,0.0008657302,0.0008203242,0.00008326891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006826277,"about_ca_system_score_gemma":0.001530214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003897934,"about_ca_topic_score_gemma":0.00001371537,"domain_scores_codex":[0.9916996,0.002567493,0.0008179811,0.001241642,0.001865173,0.001808089],"domain_scores_gemma":[0.9924464,0.002052165,0.000178726,0.001530979,0.003435748,0.0003560163],"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":[0.0003707869,0.0008664234,0.0002043867,0.004581074,0.00003114267,0.000009801653,0.001283034,0.00001913077,0.0003972964,0.01157979,0.9634238,0.01723333],"study_design_scores_gemma":[0.003066759,0.006068607,0.00005160732,0.002398163,7.51337e-7,0.000003170861,0.000436964,0.02192445,0.005436074,0.005098144,0.9552104,0.0003049289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.000007140225,0.000001906913,0.06893199,0.003674723,0.00003570649,0.9248965,0.00008653236,0.000854225,0.001511314],"genre_scores_gemma":[0.0005812974,1.598815e-7,0.0127465,0.00005590519,0.0002339156,0.9853221,0.0000373509,0.00007286969,0.0009499643],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.06042557,"threshold_uncertainty_score":0.9999984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4832624218272674,"score_gpt":0.6196019219223409,"score_spread":0.1363395000950735,"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."}}