{"id":"W2402625653","doi":"10.2310/6620.2009.00010","title":"Creation, History, and Future of the Contact Allergen Replacement Database (CARD)","year":2009,"lang":"en","type":"article","venue":"Dermatitis","topic":"Contact Dermatitis and Allergies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"American Academy of Dermatology","keywords":"Medicine; Allergen; Database; Immunology; Allergy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01916115,0.0005341429,0.0009326222,0.006598749,0.001142777,0.0120497,0.002701658,0.001523598,0.01045725],"category_scores_gemma":[0.02593491,0.000712052,0.000558735,0.007362235,0.001270134,0.01323586,0.004199617,0.003333597,0.006582001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002378327,"about_ca_system_score_gemma":0.009937943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007085048,"about_ca_topic_score_gemma":0.00449886,"domain_scores_codex":[0.9955129,0.0006167191,0.0009716715,0.0007635948,0.00177205,0.0003630186],"domain_scores_gemma":[0.966741,0.006107511,0.002693856,0.006892473,0.01018226,0.007382897],"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":[0.0003993411,0.0001836357,0.009093417,0.0009096344,0.00003677206,0.0001972981,0.0004179621,0.0003794311,0.002062653,0.0280849,0.2653441,0.6928908],"study_design_scores_gemma":[0.00002416759,0.00005168468,0.003241645,0.0002965038,0.00002459504,0.000283522,0.00008588583,0.000712212,0.0008936736,0.001455922,0.9928927,0.000037371],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07952402,0.1763858,0.2596753,0.1373248,0.02185146,0.003304287,0.1366201,0.03507053,0.1502437],"genre_scores_gemma":[0.1129329,0.07807842,0.5088035,0.01601249,0.006610504,0.0007997272,0.210288,0.004659223,0.0618153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01916115,"threshold_uncertainty_score":0.101335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085459443683008,"score_gpt":0.2369384159311654,"score_spread":0.2260838214943353,"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."}}