{"id":"W4232698175","doi":"10.2310/6620.2008.07082","title":"Nickel","year":2008,"lang":"en","type":"article","venue":"Dermatitis","topic":"Contact Dermatitis and Allergies","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Nickel; Traditional medicine; Metallurgy; Materials 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001617062,0.00007372128,0.0001553491,0.00004999313,0.00008724188,0.000008124783,0.00003956527,0.00003346341,0.0008525398],"category_scores_gemma":[0.00002332682,0.00006502521,0.00006825161,0.00007597644,0.00004178318,0.00009381423,0.00001844416,0.00007360721,0.0007040006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000173658,"about_ca_system_score_gemma":0.0000429617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004510731,"about_ca_topic_score_gemma":0.00001293816,"domain_scores_codex":[0.9994719,0.000009002967,0.0001472207,0.00008541673,0.0001502448,0.0001362015],"domain_scores_gemma":[0.9996592,0.00001806508,0.00002650206,0.0001739022,0.00004064205,0.00008168932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000003862805,0.0001026062,0.08335599,0.00008877645,0.00006866592,0.00192044,0.00122184,0.000001252914,0.0006885874,0.001441191,0.8973798,0.01372704],"study_design_scores_gemma":[0.0005763152,0.00003030631,0.5947532,0.00003827772,0.000009286815,0.002793433,0.00004098502,0.0001007817,0.001635793,0.00005214995,0.3998913,0.00007809746],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8938594,0.0005725072,0.0002334975,0.008908668,0.0001544485,0.0001358861,0.000006901088,0.0001393852,0.09598928],"genre_scores_gemma":[0.9843833,0.0005595778,0.0007665558,0.009094069,0.00009475547,0.00001053891,0.00002095205,0.00001105027,0.005059137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5113972,"threshold_uncertainty_score":0.9334713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01904856925534283,"score_gpt":0.24400377897027,"score_spread":0.2249552097149272,"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."}}