{"id":"W4242863694","doi":"10.1002/jbmr.4059","title":"Ed Bd, Masthead, Comm List and TOC","year":2020,"lang":"en","type":"article","venue":"Journal of Bone and Mineral Research","topic":"Chemical Synthesis and Characterization","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Library science; Computer science","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":[0.0003978738,0.0000407803,0.0001128883,0.00001783939,0.000059078,0.00004600714,0.00005048107,0.00002790157,0.0006114445],"category_scores_gemma":[0.0001533098,0.00002934687,0.00002242893,0.00008911073,0.0001104068,0.0001230923,0.0001118983,0.0001830547,0.00001302056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001857391,"about_ca_system_score_gemma":0.000005707611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003866269,"about_ca_topic_score_gemma":0.000008811809,"domain_scores_codex":[0.9992892,0.00004602948,0.0001607762,0.00007696162,0.0003037437,0.000123329],"domain_scores_gemma":[0.9996358,0.00006986698,0.00004744557,0.00003586508,0.00001854173,0.0001924594],"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":[0.00009935108,0.00003079677,0.0147202,0.00001028969,0.000003557789,0.00001620366,0.0002300234,0.000001110219,0.9466724,0.00002132067,0.01227724,0.02591752],"study_design_scores_gemma":[0.001944446,0.001488811,0.3594046,0.0001237727,0.00002589299,0.0002094465,0.0006528685,0.002115071,0.05452877,0.0007760666,0.5784037,0.0003266407],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891101,0.0001955895,0.00002125721,0.009173997,0.000008455101,0.00003599418,0.00000146384,0.000001439986,0.001451698],"genre_scores_gemma":[0.9987113,0.0004028195,0.0001902846,0.0002394264,0.0001200851,6.151004e-7,6.834824e-7,0.000003937354,0.0003308104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8921436,"threshold_uncertainty_score":0.6694888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05176082041847276,"score_gpt":0.3055766656428416,"score_spread":0.2538158452243688,"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."}}