{"id":"W4250129934","doi":"10.1142/s0219030310000406","title":"Bioboard","year":2010,"lang":"en","type":"article","venue":"Asia-Pacific Biotech News","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Medicine; Political 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":["research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0001539484,0.0002152394,0.0003036793,0.000241553,0.0001334701,0.00001820661,0.0001932636,0.006908326,0.0007350479],"category_scores_gemma":[0.00009184881,0.0001654766,0.0001524691,0.0004755064,0.0003712265,0.0000553736,0.00006042963,0.006163489,0.001136239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001648671,"about_ca_system_score_gemma":0.00008445713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004571588,"about_ca_topic_score_gemma":0.00003374123,"domain_scores_codex":[0.9987469,0.00001586172,0.000266678,0.0004103095,0.000168901,0.0003913507],"domain_scores_gemma":[0.99883,0.00002521354,0.00007098421,0.0008395907,0.00005044458,0.0001837258],"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":[0.0001187092,0.0002378265,0.002449608,0.00003257325,0.0001218072,0.0001633872,0.0001037235,1.050058e-7,0.8273027,0.01457346,0.06024085,0.09465525],"study_design_scores_gemma":[0.0007278583,0.0001982174,0.001715046,0.00002757508,0.00006674248,0.0005552404,0.0003777375,0.00002974232,0.2877222,0.000432904,0.7079436,0.0002032076],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3429739,0.000700389,0.001220632,0.3556384,0.003759129,0.0009214877,0.00001495755,0.001817113,0.2929539],"genre_scores_gemma":[0.9826524,0.0005287951,0.007059467,0.001090891,0.0003087264,0.00001319119,0.00002236239,0.00003671833,0.008287441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6477027,"threshold_uncertainty_score":0.9996415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007808460081233829,"score_gpt":0.2425773550082039,"score_spread":0.23476889492697,"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."}}