{"id":"W6926554033","doi":"10.25549/impa-m2565","title":"Grave mounds and tomb near St. John's University, Shanghai, China, ca.1925-1930","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brick; Archaeomagnetic dating; Cave; Excavation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003436797,0.001751715,0.001314052,0.003209006,0.0007236263,0.001744543,0.001872064,0.001260769,0.04080202],"category_scores_gemma":[0.00224357,0.0004549975,0.0007784868,0.008158178,0.000301834,0.0008343474,0.001001823,0.0009381554,0.03999619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583288,"about_ca_system_score_gemma":0.003393824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1105208,"about_ca_topic_score_gemma":0.2299388,"domain_scores_codex":[0.9996451,0.00002974771,0.00005161665,0.0001252835,0.00008595366,0.00006237657],"domain_scores_gemma":[0.9992848,0.0001436737,0.0001211424,0.000113839,0.0002066423,0.0001298869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001155322,0.00001646766,0.002429699,0.001159223,0.00004385219,0.00004796163,0.00002411828,0.0002427432,0.00009554897,0.0003346399,0.9915097,0.003980579],"study_design_scores_gemma":[0.0001948733,0.00001883703,0.01970105,0.0004126136,0.00007537042,0.00008550759,0.000109558,0.0003450591,0.0002842516,0.0005064847,0.978236,0.00003056252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001672526,0.0001102215,0.00002061855,0.00002782884,0.00001208132,0.000003014623,0.9990463,0.0001004265,0.0005122577],"genre_scores_gemma":[0.0005937684,0.0001248359,0.00008789245,0.00002233945,0.000005233831,0.00001849385,0.9983657,0.0000146145,0.0007669926],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1105208,"threshold_uncertainty_score":0.2197549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006053105494525248,"score_gpt":0.1642345347865359,"score_spread":0.1581814292920106,"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."}}