{"id":"W4392779662","doi":"10.3998/weaveux.4968","title":"Title Pending 4968","year":2024,"lang":"en","type":"article","venue":"Weave Journal of Library User Experience","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001033651,0.00005303447,0.00007648545,0.0001151947,0.00004327111,0.0004626559,0.0004737312,0.0000188062,0.0007924084],"category_scores_gemma":[0.00001736008,0.00004046141,0.00004598172,0.0001997585,0.00001814686,0.003395912,0.0001003752,0.0001021971,0.0001842489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007520156,"about_ca_system_score_gemma":0.00008345568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.96356e-8,"about_ca_topic_score_gemma":2.375909e-9,"domain_scores_codex":[0.9994094,0.00001026605,0.0002541134,0.00006339883,0.000173066,0.00008970394],"domain_scores_gemma":[0.9996761,0.00003927164,0.0001049547,0.0001078197,0.00002006686,0.0000517782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003751867,0.00004644065,0.0002959523,0.0002463711,0.00003324465,0.0001876568,0.06886139,0.00004059982,0.0009942752,0.5642708,0.2657775,0.09924201],"study_design_scores_gemma":[0.0001314005,0.00007713714,0.00013049,0.0007270394,0.000005204934,0.0006849996,0.0009791105,0.1613683,0.02926987,0.0163595,0.7899903,0.0002766199],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006708788,0.002148724,0.8178388,0.0006338365,0.002107206,0.00003321675,4.059436e-7,0.0001606984,0.1703683],"genre_scores_gemma":[0.9108679,0.00009435404,0.0834783,0.0005039533,0.0003490147,7.597087e-7,2.408165e-7,0.00001040925,0.004695058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9041591,"threshold_uncertainty_score":0.8676316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013010667641323,"score_gpt":0.2592797363364397,"score_spread":0.2462690686951167,"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."}}