{"id":"W7164133229","doi":"10.2196/86877","title":"IdeaDistiller - AI-support for Idea Synthesis in Concept Mapping: Algorithm Development and Validation (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Development (topology); Process (computing); Key (lock); Automation","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":[],"consensus_categories":[],"category_scores_codex":[0.0009826848,0.000109991,0.0001829614,0.0002315734,0.0001050979,0.0001329556,0.0004501018,0.00009259491,0.0000305642],"category_scores_gemma":[0.0005218124,0.00009765407,0.0000296829,0.000426051,0.0001015622,0.0006133614,0.0003611989,0.0001398913,0.00001861754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006441955,"about_ca_system_score_gemma":0.000472757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003632135,"about_ca_topic_score_gemma":0.000002687313,"domain_scores_codex":[0.9985555,0.00002084856,0.0005846777,0.0001662429,0.0004034081,0.0002693235],"domain_scores_gemma":[0.9991672,0.0003181646,0.00009531042,0.0001801717,0.0001075201,0.0001316086],"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":[0.000001281844,0.00002644956,0.000224898,0.00008984219,0.00000930787,0.000002562601,0.007899624,0.000003381693,0.000003557618,0.009597045,0.001284292,0.9808577],"study_design_scores_gemma":[0.001589148,0.00006485067,0.01183204,0.001131878,0.00000998117,0.00002531399,0.005524527,0.7335626,0.00624778,0.01007503,0.2293421,0.000594785],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007191503,0.00001097668,0.9866052,0.001239896,0.0001818162,0.0004687602,0.000002089949,0.00006121321,0.004238497],"genre_scores_gemma":[0.4176223,0.00003500233,0.5687343,0.01156181,0.00006782619,0.0010891,0.00002868264,0.000009351385,0.0008516278],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.980263,"threshold_uncertainty_score":0.3982217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02208638669598634,"score_gpt":0.3013217968902046,"score_spread":0.2792354101942183,"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."}}