{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05486742,0.002685593,0.003916168,0.004323693,0.005638272,0.004400865,0.00262668,0.005848879,0.1164855],"category_scores_gemma":[0.0971118,0.003134423,0.00534873,0.005467042,0.002908626,0.004137393,0.003565888,0.009785058,0.02187627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007698298,"about_ca_system_score_gemma":0.0287968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005438367,"about_ca_topic_score_gemma":0.006856527,"domain_scores_codex":[0.9768015,0.01363416,0.004410344,0.00156387,0.001994067,0.001596097],"domain_scores_gemma":[0.9295335,0.03346913,0.006508331,0.01114559,0.01674601,0.00259737],"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":[0.08481897,0.04325107,0.00868427,0.09313995,0.002118956,0.001833115,0.01454041,0.0154136,0.002867891,0.03809989,0.2619053,0.4333267],"study_design_scores_gemma":[0.2076982,0.03944357,0.03092927,0.05368507,0.002351938,0.0006006062,0.0136403,0.01064095,0.005561997,0.04741909,0.5867605,0.001268529],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.001480939,0.0001431428,0.003249795,0.0002997268,0.0001691232,0.9897243,0.003571345,0.00008890327,0.001272799],"genre_scores_gemma":[0.0005817069,0.00004707216,0.001987012,0.0000626579,0.000007043973,0.9969951,0.0001478495,0.000004271485,0.0001672856],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1164855,"threshold_uncertainty_score":0.3896828,"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."}}