{"id":"W2357902045","doi":"10.1097/dss.0000000000000698","title":"Current and Emerging Options for Documenting Scars and Evaluating Therapeutic Progress","year":2016,"lang":"en","type":"article","venue":"Dermatologic Surgery","topic":"Dermatologic Treatments and Research","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Documentation; Medicine; Medical physics; Scars; Scale (ratio); Surgery; 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":[0.0005083985,0.000150276,0.0003573223,0.0001564464,0.000242071,0.00003323416,0.00003518206,0.000064353,0.00002583641],"category_scores_gemma":[0.0001824296,0.00007917791,0.0000859879,0.0001018776,0.0002130253,0.0001075824,0.00006364721,0.0000693194,0.000005189029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002325491,"about_ca_system_score_gemma":0.00005827967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001366078,"about_ca_topic_score_gemma":2.681937e-7,"domain_scores_codex":[0.9987144,0.00009850286,0.0002888804,0.0003051789,0.0001935519,0.0003994952],"domain_scores_gemma":[0.9985663,0.0009740425,0.00009629341,0.0001487451,0.00009332246,0.0001213137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003557643,0.00006401748,0.5245017,0.0001634719,0.00007077046,0.00003059219,0.00005095707,4.629948e-8,0.0001898802,0.0003740298,0.0004486507,0.4740703],"study_design_scores_gemma":[0.008135977,0.0003342867,0.9246066,0.002665572,0.0007505602,0.009775992,0.001120164,0.002598453,0.004489071,0.008223955,0.03627396,0.001025431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704564,0.02216037,0.0003022866,0.006081982,0.0001828444,0.0006136037,0.000005582782,0.00008783195,0.0001091166],"genre_scores_gemma":[0.9965761,0.002168548,0.0007529524,0.0001189808,0.0000349234,0.0002427679,0.000009356629,0.00001395772,0.00008238384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4730448,"threshold_uncertainty_score":0.3228781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1053394463885962,"score_gpt":0.4201055713280917,"score_spread":0.3147661249394955,"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."}}