{"id":"W4232715078","doi":"10.2310/6620.2006.06048","title":"SELF-ASSESSMENT","year":2006,"lang":"en","type":"article","venue":"Dermatitis","topic":"Medicine and Dermatology Studies History","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Section (typography); Family medicine; Dermatology; Library science; Advertising; Computer science","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":[0.00004426813,0.00008488988,0.000215571,0.00006885311,0.00008518312,0.000003430119,0.00003177481,0.00004738004,0.00008800188],"category_scores_gemma":[0.000003760865,0.00007231452,0.00004946775,0.00007847291,0.00004875765,0.00003455825,0.00001714665,0.00009966344,0.0002193411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009139842,"about_ca_system_score_gemma":0.00007400824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002787153,"about_ca_topic_score_gemma":0.000007608119,"domain_scores_codex":[0.9993496,0.00001816378,0.0001944317,0.0001129211,0.0001657485,0.0001591213],"domain_scores_gemma":[0.9996527,0.00002683131,0.00004113754,0.0001762966,0.00004746638,0.00005558272],"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":[8.373004e-7,0.00008711296,0.04482167,0.00009739021,0.00003257084,0.0003553313,0.00005759869,1.876366e-7,0.00002977807,0.002136678,0.9519666,0.000414292],"study_design_scores_gemma":[0.0007890417,0.00003619877,0.2617406,0.00001925466,0.00006086319,0.0003501905,0.00005110632,0.0001293634,0.000105453,0.0001339107,0.7365215,0.00006251926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05438993,0.001541624,0.0009692661,0.01344024,0.0003370779,0.0002178754,0.000002503475,0.0002607225,0.9288408],"genre_scores_gemma":[0.9091287,0.0001677031,0.01334017,0.07448411,0.0003822162,0.00004600034,0.00005443384,0.00001909677,0.002377547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9264632,"threshold_uncertainty_score":0.29489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007217164448246317,"score_gpt":0.2566587431277786,"score_spread":0.2494415786795323,"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."}}