{"id":"W6939727518","doi":"10.6084/m9.figshare.26982087","title":"Additional file 2 of Human factors methods in the design of digital decision support systems for population health: a scoping review","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trillium Health Centre; University of Toronto","funders":"","keywords":"Decision support system; Population; Information system; Key (lock)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005049966,0.001814495,0.002701662,0.008580823,0.0009328626,0.003380406,0.002807236,0.00290477,0.5989653],"category_scores_gemma":[0.05949174,0.0011802,0.003916767,0.01216743,0.0005230406,0.00194249,0.002385346,0.001503702,0.07310069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003049539,"about_ca_system_score_gemma":0.006682835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0187632,"about_ca_topic_score_gemma":0.03651041,"domain_scores_codex":[0.9970765,0.0007981065,0.0009502485,0.0005634053,0.0003834034,0.0002282215],"domain_scores_gemma":[0.9482639,0.0415162,0.003082266,0.001861854,0.004650888,0.0006247955],"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":[0.0004841982,0.00009698151,0.00219579,0.08049423,0.0005432945,0.00005316576,0.0001580049,0.000897923,0.0001146654,0.001875971,0.9035087,0.00957701],"study_design_scores_gemma":[0.006076851,0.0001605693,0.01349327,0.03705903,0.001804927,0.000118722,0.0004024861,0.0009625159,0.0004077784,0.007584562,0.9317827,0.0001466824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004634915,0.0001093199,0.00008933299,0.00004592097,0.000009399622,0.0001075956,0.9993237,0.00004200407,0.000226296],"genre_scores_gemma":[0.002311309,0.0006041649,0.002979448,0.0003701608,0.00003092688,0.006334387,0.9848568,0.0001895794,0.00232317],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5989653,"threshold_uncertainty_score":0.5720272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.166370986725697,"score_gpt":0.3967451926725451,"score_spread":0.2303742059468481,"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."}}