{"id":"W3135486902","doi":"","title":"Wholesale China Pink Gym Leggings Factory - Omi","year":2007,"lang":"en","type":"article","venue":"American Journal of Human Biology","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Factory (object-oriented programming); China; Geography; Business; Computer science; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008651809,0.0001408268,0.0004876037,0.0003648192,0.00007909915,0.000007978232,0.0001788705,0.00005925072,0.0001553489],"category_scores_gemma":[0.0000425216,0.0001123205,0.0001598247,0.0001498836,0.000565053,0.00006706278,0.00002831554,0.0004484838,0.00001130888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001292753,"about_ca_system_score_gemma":0.00006686135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004124584,"about_ca_topic_score_gemma":0.000005094212,"domain_scores_codex":[0.9987788,0.00008973591,0.000530262,0.0001393985,0.0001826677,0.0002791179],"domain_scores_gemma":[0.9988014,0.00004440915,0.0005913709,0.0001901293,0.000194136,0.0001786246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002806367,0.0001967488,0.1065456,0.00001113863,0.0001457826,0.0001284109,0.0003691289,2.139436e-7,0.8567671,0.0008401718,0.004162468,0.03055265],"study_design_scores_gemma":[0.002101433,0.01438747,0.8598059,0.0002350711,0.0001730468,0.0019735,0.0005409649,0.000001882525,0.09061347,0.001474051,0.02833323,0.0003599948],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865258,0.0002117767,0.00812299,0.001095997,0.0001436614,0.0001015682,0.000001508048,0.00007010233,0.003726579],"genre_scores_gemma":[0.9945521,0.00003108534,0.003653525,0.001203565,0.0004487817,8.029119e-7,0.000006132499,0.00001978842,0.00008416873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7661536,"threshold_uncertainty_score":0.4580296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0198546381205849,"score_gpt":0.3344867765247854,"score_spread":0.3146321384042005,"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."}}