{"id":"W4243419593","doi":"10.33589/13.3.0355","title":"Hair Repair","year":2003,"lang":"en","type":"article","venue":"International Society of Hair Restoration Surgery","topic":"Body Contouring and Surgery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kingdom; Gerontology; Library science; Medicine; Geology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007840528,0.0001157254,0.0002778944,0.00009441889,0.00006678062,0.00001553709,0.00005027504,0.0001078311,0.0002135766],"category_scores_gemma":[0.0005260812,0.0001131711,0.0007037323,0.0001642456,0.00008752276,0.0001807037,0.00001370115,0.0001371539,0.00003232684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001307104,"about_ca_system_score_gemma":0.0003460984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005010835,"about_ca_topic_score_gemma":0.000002775067,"domain_scores_codex":[0.9986305,0.00004628017,0.0004559268,0.0002099325,0.0005057177,0.0001516983],"domain_scores_gemma":[0.9988042,0.0003216201,0.0001844322,0.0002235489,0.0003793873,0.00008688423],"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":[0.00006038686,0.0001811206,0.2743661,0.00005404057,0.000236722,0.00001315448,0.0002165241,0.00002743232,0.002403421,0.001601805,0.7200726,0.0007666736],"study_design_scores_gemma":[0.0006173589,0.00004091116,0.07200312,0.0002346842,0.00004005227,0.00005073549,0.0003343584,0.0012551,0.007786402,0.000253538,0.9171337,0.0002499884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964625,0.0006656025,0.00248462,0.00508231,0.002555999,0.0002255946,0.00001389877,0.0003690262,0.02397797],"genre_scores_gemma":[0.9883495,0.0001223913,0.002923617,0.000899158,0.000473761,0.00001556367,0.0000592226,0.00001821761,0.007138574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.202363,"threshold_uncertainty_score":0.4614984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03491164006594381,"score_gpt":0.2854802384453707,"score_spread":0.2505685983794269,"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."}}