{"id":"W4246835603","doi":"10.1177/229255031101900412","title":"The Opportunities and Obstacles in Developing a Vascular Birthmark Database for Clinical and Research Use","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Plastic Surgery","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Database; Birthmark; Identification (biology); Data administration; Multidisciplinary approach; Medicine; Database design; Computer science; Population; Data science; Database schema","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08194578,0.0004195717,0.0006124026,0.003897663,0.002838748,0.01257231,0.004290945,0.002609994,0.005024353],"category_scores_gemma":[0.146116,0.0007663125,0.0008127379,0.005136718,0.002609359,0.009618088,0.005742194,0.003032211,0.002357884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004726269,"about_ca_system_score_gemma":0.02223916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01130295,"about_ca_topic_score_gemma":0.01332657,"domain_scores_codex":[0.9546453,0.02313347,0.008904839,0.001467969,0.01004228,0.001806111],"domain_scores_gemma":[0.6628833,0.2181213,0.0205633,0.02607992,0.06022311,0.01212896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001720106,0.0002297142,0.03142731,0.002824297,0.00006552744,0.002011579,0.005067072,0.001963165,0.001612421,0.0311999,0.0737923,0.8496347],"study_design_scores_gemma":[0.00009419017,0.0003458056,0.02335346,0.009840865,0.0001364522,0.00855607,0.01682533,0.004923849,0.004828119,0.04294814,0.8879102,0.0002375081],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.1212773,0.0554338,0.3529193,0.3823721,0.005717946,0.003717383,0.003723061,0.005896308,0.06894285],"genre_scores_gemma":[0.1471669,0.02377189,0.8008746,0.01648365,0.002283256,0.001190197,0.002673611,0.0006385079,0.004917453],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.08194578,"threshold_uncertainty_score":0.4333759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8531444903334356,"score_gpt":0.5224766296267446,"score_spread":0.3306678607066911,"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."}}