{"id":"W4238219469","doi":"10.1142/s0219030315000336","title":"EYE ON CHINA","year":2015,"lang":"en","type":"article","venue":"Asia-Pacific Biotech News","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Christian ministry; Library science; Medicine; Stock (firearms); Engineering; Political science; Business; Law; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007899024,0.0002072915,0.0003472258,0.0003353512,0.0000912217,0.00003078584,0.0002467895,0.0002280633,0.0002150252],"category_scores_gemma":[0.0005669521,0.0001425156,0.000094167,0.0007881285,0.0002977576,0.00008611321,0.00005723215,0.0005879911,0.001123374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001455424,"about_ca_system_score_gemma":0.0003784638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002717771,"about_ca_topic_score_gemma":0.00001618549,"domain_scores_codex":[0.9976051,0.00005354378,0.0002550864,0.0004853394,0.00102661,0.0005742822],"domain_scores_gemma":[0.9981169,0.00003344615,0.00005856147,0.0007836897,0.0001147483,0.0008926933],"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":[0.001092429,0.0009485781,0.01709446,0.0001067627,0.00008576796,0.0007181424,0.003599166,0.000004033114,0.06567298,0.002497781,0.5797691,0.3284108],"study_design_scores_gemma":[0.004243171,0.00318225,0.02518162,0.0002321548,0.00005106892,0.000187802,0.008148368,0.0002507943,0.05755869,0.000572074,0.9000455,0.0003464968],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3389819,0.0006649059,0.0004180536,0.05228484,0.00120677,0.0008918304,0.000009115668,0.0003371057,0.6052055],"genre_scores_gemma":[0.9689286,0.0002045606,0.000855841,0.001021051,0.0007440568,0.00001785418,0.00002282313,0.00002902862,0.02817612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6299468,"threshold_uncertainty_score":0.9996544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05178027464688129,"score_gpt":0.3427829406035473,"score_spread":0.291002665956666,"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."}}