{"id":"W2944436640","doi":"10.2196/13151","title":"Evaluation of a Health Information Technology–Enabled Collective Intelligence Platform to Improve Diagnosis in Primary Care and Urgent Care Settings: Protocol for a Pragmatic Randomized Controlled Trial","year":2019,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality; National Cancer Institute; Gordon and Betty Moore Foundation","keywords":"Randomized controlled trial; Medicine; Intervention (counseling); Collective intelligence; Health care; Usability; Nursing; Family medicine; Artificial intelligence; Computer science; Pathology","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":[0.05032275,0.008000765,0.01351431,0.003165662,0.004312988,0.006316797,0.004116434,0.009558704,0.06083909],"category_scores_gemma":[0.05895687,0.003401007,0.008647958,0.004132889,0.004974732,0.005080208,0.003026288,0.009233457,0.01049562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007550038,"about_ca_system_score_gemma":0.01575556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003425607,"about_ca_topic_score_gemma":0.004983676,"domain_scores_codex":[0.9578754,0.02720298,0.004760367,0.002606407,0.004207472,0.003347344],"domain_scores_gemma":[0.9732252,0.009250152,0.005392575,0.003577346,0.005957827,0.002596796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9176578,0.01946869,0.0007663204,0.02062081,0.003931229,0.0003139683,0.0005787108,0.002070674,0.001417186,0.003507875,0.01050794,0.01915879],"study_design_scores_gemma":[0.9561082,0.02507699,0.001056584,0.002186902,0.000990412,0.0000322646,0.0001438383,0.001228953,0.000502517,0.001937735,0.01065359,0.00008192599],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.001407413,0.0001234513,0.0006624327,0.0001033742,0.0002415796,0.9966786,0.0003967136,0.0000472862,0.0003391589],"genre_scores_gemma":[0.001241026,0.00004821143,0.0008957659,0.00006929488,0.00002565087,0.9975221,0.00004843522,0.000002698144,0.00014699],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.06083909,"threshold_uncertainty_score":0.2661353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09874572585468087,"score_gpt":0.525575500077347,"score_spread":0.4268297742226661,"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."}}