{"id":"W4210762431","doi":"10.2310/6620.2006.06002","title":"Nickel","year":2006,"lang":"en","type":"article","venue":"Dermatitis","topic":"Chromium effects and bioremediation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002833277,0.00003300498,0.00002995097,0.000006014942,0.00003450967,0.00001326031,0.00004013838,0.00001715451,0.00197749],"category_scores_gemma":[0.000003171998,0.0000278468,0.00001471904,0.0000539212,0.0000274266,0.00008197885,0.00002268068,0.00001810021,0.002183733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003442429,"about_ca_system_score_gemma":0.000001043784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008361405,"about_ca_topic_score_gemma":0.000337908,"domain_scores_codex":[0.9997033,0.000008539638,0.00005650732,0.00006185403,0.00009432256,0.00007541351],"domain_scores_gemma":[0.9998963,0.000009648092,0.00001706226,0.00006059738,8.957713e-7,0.00001545366],"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":[3.051632e-7,0.00003966954,0.1970208,0.000005372425,0.000001310039,0.00001179951,0.00005939042,0.0001889725,0.01503933,0.0003937042,0.7715879,0.01565147],"study_design_scores_gemma":[0.0001026057,0.000006298103,0.8639141,0.000001510513,0.000001734168,0.000005697443,0.000002334287,0.0008691566,0.006692597,0.0005318945,0.1278181,0.00005393724],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9169787,0.0000128585,0.0003855156,0.0009306257,0.00008551185,0.00005725619,0.000002996987,0.00003360657,0.08151292],"genre_scores_gemma":[0.9979542,0.00000267974,0.0004091384,0.0007549584,0.00005997316,0.000003708871,0.00001557722,0.000002801963,0.0007969827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6668933,"threshold_uncertainty_score":0.9989349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003114765964103558,"score_gpt":0.1797622798351992,"score_spread":0.1766475138710956,"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."}}