{"id":"W7111365322","doi":"10.1371/journal.pdig.0000917.s003","title":"Codebook.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Primary care; Estimation; Quality (philosophy); Task (project management); MEDLINE; Qualitative research; Grounded theory","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002588199,0.0009182622,0.001155595,0.004815563,0.002872076,0.007235452,0.003534054,0.002480895,0.7683623],"category_scores_gemma":[0.02087702,0.0006048356,0.0007582512,0.007551089,0.0009282014,0.004724966,0.004020309,0.002503294,0.5533005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004303656,"about_ca_system_score_gemma":0.006983886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01436231,"about_ca_topic_score_gemma":0.01387134,"domain_scores_codex":[0.9972609,0.0006678326,0.0003438616,0.0004717373,0.0009329662,0.0003226869],"domain_scores_gemma":[0.9912921,0.002127628,0.0003318099,0.001085269,0.00426906,0.0008940859],"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":[0.00006130831,0.00003190462,0.0002858315,0.0005207694,0.000004155359,0.00006862841,0.0006307671,0.0000565081,0.00006831002,0.01012163,0.9098502,0.07829994],"study_design_scores_gemma":[0.00001483856,0.00001341567,0.0005749413,0.0003131787,0.000002196375,0.00007965844,0.0006675029,0.00005090386,0.00004111052,0.002788498,0.9954449,0.000008902636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001893709,0.003845484,0.006206146,0.01152867,0.005705839,0.001832764,0.1460154,0.002909403,0.8200627],"genre_scores_gemma":[0.01175432,0.005350839,0.007506609,0.005613377,0.0009112254,0.003305867,0.08351964,0.002588639,0.8794494],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2316377,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3167335382276733,"score_gpt":0.4909329024216231,"score_spread":0.1741993641939498,"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."}}