{"id":"W4244950112","doi":"10.1002/jbmr.3502","title":"Ed Bd, Masthead, Comm List and TOC","year":2019,"lang":"en","type":"article","venue":"Journal of Bone and Mineral Research","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; Library science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001057075,0.00005301396,0.0001526968,0.00016008,0.00004165999,0.00006757151,0.00003794414,0.00004055661,0.000127052],"category_scores_gemma":[0.00005319481,0.00003828457,0.000032135,0.00007329869,0.00002792252,0.0001475815,0.00002629341,0.0004862454,0.00001583917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001589573,"about_ca_system_score_gemma":0.00001249235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002499294,"about_ca_topic_score_gemma":0.00001620576,"domain_scores_codex":[0.9993145,0.00005006053,0.0001889328,0.00005084381,0.0002419735,0.0001536721],"domain_scores_gemma":[0.9996312,0.00008860182,0.00002629071,0.00005800452,0.0000770704,0.0001188253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001738234,0.00005036427,0.004912059,0.0001943666,0.00005568151,0.00006370716,0.0003116098,0.0001193418,0.8751538,0.0006598374,0.0260964,0.09220905],"study_design_scores_gemma":[0.002676763,0.001123417,0.03485536,0.0003413057,0.00002045197,0.001139864,0.001200361,0.01554295,0.004377766,0.000439591,0.9379579,0.0003243018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890156,0.002618423,0.00004248618,0.0004448781,0.0001254939,0.00005119451,9.730581e-7,0.00000601347,0.007694969],"genre_scores_gemma":[0.9949583,0.001073513,0.000287618,0.00002839645,0.0001535849,4.405567e-7,4.751805e-7,0.000007813735,0.003489794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9118615,"threshold_uncertainty_score":0.2112521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03762267785775848,"score_gpt":0.3269073168764829,"score_spread":0.2892846390187244,"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."}}