{"id":"W7133256288","doi":"10.2310/derm.1.2005.2052","title":"Use of Consumer Product Ingredients for Patch Testing","year":2005,"lang":"en","type":"article","venue":"Dermatitis","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Patch testing; Product testing; Consumer safety; New product development","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":[0.00343226,0.0006973895,0.0004989692,0.00307117,0.0005043023,0.0007905941,0.0008275227,0.000836842,0.01711036],"category_scores_gemma":[0.01100805,0.0002534476,0.0004703612,0.001844615,0.0004161786,0.00097073,0.0005158886,0.0006594945,0.005513597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005080855,"about_ca_system_score_gemma":0.0006344987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001506106,"about_ca_topic_score_gemma":0.001149501,"domain_scores_codex":[0.994072,0.001549477,0.0009205287,0.0006839082,0.002605509,0.0001685345],"domain_scores_gemma":[0.9875118,0.003772665,0.003207911,0.002085845,0.003138789,0.0002831145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001513925,0.001177471,0.4778592,0.003302574,0.0002028978,0.003278681,0.001130143,0.0001664774,0.02356134,0.0005436334,0.03054076,0.4567229],"study_design_scores_gemma":[0.0002291594,0.0033848,0.5619839,0.004122597,0.0008743883,0.02816704,0.001302702,0.001764639,0.06501423,0.0007886406,0.3322241,0.000143748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6942253,0.0356061,0.02609347,0.004895044,0.002303709,0.005870953,0.01276345,0.003234429,0.2150074],"genre_scores_gemma":[0.92212,0.009268588,0.0429978,0.002978195,0.0007829461,0.001421719,0.00713229,0.0005633767,0.01273492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01711036,"threshold_uncertainty_score":0.05723983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1483234800988374,"score_gpt":0.3046312416351591,"score_spread":0.1563077615363217,"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."}}