{"id":"W2754313597","doi":"","title":"DERMATOLOGICAL TRACKING OF CHRONIC ACNE","year":2014,"lang":"en","type":"article","venue":"Journal of undergraduate research in Alberta","topic":"Acne and Rosacea Treatments and Effects","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Acne; Schematic; Tracking (education); Computer science; Cluster analysis; Medicine; Region of interest; Artificial intelligence; Psychology; Dermatology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003663045,0.0002591274,0.0002313108,0.00110489,0.0002099273,0.0007964009,0.0003149204,0.0004829492,0.004539631],"category_scores_gemma":[0.001184631,0.0001279612,0.0002271083,0.0005220043,0.0001791793,0.0003584431,0.000355681,0.000281873,0.001244967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003534165,"about_ca_system_score_gemma":0.0002398181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002276964,"about_ca_topic_score_gemma":0.003237791,"domain_scores_codex":[0.9996853,0.00005102377,0.00002068451,0.0001112452,0.0001000962,0.00003164569],"domain_scores_gemma":[0.9993811,0.0001484561,0.0001213915,0.00009622984,0.0002110633,0.00004166739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004711213,0.0001691441,0.1276381,0.0005583277,0.00006766769,0.0005601656,0.0002605844,0.007494221,0.148562,0.0006206298,0.006387004,0.7072111],"study_design_scores_gemma":[0.00008695092,0.0008627641,0.6226163,0.000432547,0.0001628653,0.01213505,0.0005866325,0.2099268,0.1191119,0.001830632,0.03211198,0.0001354955],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7065362,0.004118089,0.262831,0.000644034,0.0002805684,0.0007139373,0.003188519,0.004470876,0.01721676],"genre_scores_gemma":[0.8682562,0.0009058435,0.1257171,0.0001677569,0.0000708235,0.00008836111,0.0008008317,0.00009857601,0.003894415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004539631,"threshold_uncertainty_score":0.01518661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06762861532705865,"score_gpt":0.3944985468935548,"score_spread":0.3268699315664962,"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."}}