{"id":"W4393361498","doi":"10.2196/52027","title":"Enabling Health Information Recommendation Using Crowdsourced Refinement in Web-Based Health Information Applications: User-Centered Design Approach and EndoZone Informatics Case Study","year":2024,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health informatics; Computer science; Informatics; Health information; World Wide Web; Public health informatics; Data science; Information retrieval; Health care; Engineering; HRHIS; Public health; Medicine; Health promotion","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":[0.01119423,0.000723996,0.0003776507,0.001782098,0.001281388,0.002638558,0.002219288,0.001727263,0.002794135],"category_scores_gemma":[0.01201107,0.0004569634,0.0009975334,0.0009882753,0.001759032,0.001472941,0.003463094,0.001042165,0.000859156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002058272,"about_ca_system_score_gemma":0.003603867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003807832,"about_ca_topic_score_gemma":0.00642363,"domain_scores_codex":[0.9918659,0.005198442,0.0004293061,0.0007806775,0.001286134,0.0004394853],"domain_scores_gemma":[0.9885466,0.006737201,0.0006617813,0.001738688,0.001680966,0.000634732],"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":[0.001752968,0.004058041,0.05205785,0.004925597,0.0003704419,0.006291741,0.03102405,0.07012677,0.08447694,0.08533192,0.01053891,0.6490448],"study_design_scores_gemma":[0.001431115,0.006412398,0.02882983,0.001289455,0.0006394081,0.003273927,0.02311016,0.4852049,0.1317503,0.05809183,0.2594337,0.0005329407],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2206168,0.0004009896,0.7440057,0.001990201,0.00008899759,0.007498635,0.0004316217,0.00188398,0.02308299],"genre_scores_gemma":[0.3524634,0.0002384555,0.6379444,0.0003242215,0.00002322065,0.003032837,0.0002765897,0.0001263989,0.005570493],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01119423,"threshold_uncertainty_score":0.05920148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09566095347637271,"score_gpt":0.3509619079554567,"score_spread":0.255300954479084,"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."}}