{"id":"W2303462971","doi":"10.1080/10520290902846820","title":"News from the Biological Stain Commission No. 5","year":2009,"lang":"en","type":"article","venue":"Biotechnic & Histochemistry","topic":"Biological Stains and Phytochemicals","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Heading (navigation); European commission; Stain; Political science; Library science; Public administration; Business; Law; Medicine; Engineering; Computer science; Pathology; Staining; International trade","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":[0.0001412162,0.0002214314,0.0003158493,0.000009068774,0.000132169,0.00001451383,0.0003147603,0.0006213053,0.0007614706],"category_scores_gemma":[0.0004321831,0.0001186999,0.0001868527,0.0001464856,0.0002100356,0.00001350482,0.00007689369,0.0006037335,0.0000753284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000155867,"about_ca_system_score_gemma":0.00005764584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005351692,"about_ca_topic_score_gemma":3.435691e-7,"domain_scores_codex":[0.9987747,0.0000293973,0.0002913824,0.0004064976,0.0001887927,0.0003092476],"domain_scores_gemma":[0.9988707,0.0001212093,0.00009357166,0.000643872,0.00006893356,0.0002016929],"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":[0.0001800311,0.0001468349,0.0003673886,0.000005951062,0.000009725587,0.00001437392,0.000008003626,4.288771e-8,0.9080431,0.00007840787,0.079463,0.01168318],"study_design_scores_gemma":[0.0007164821,0.0004436761,0.008948586,0.0001111853,0.00003491944,0.00002661259,0.00004244163,0.00001435793,0.2817479,0.001955866,0.705676,0.0002818771],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8757865,0.007872323,0.001300222,0.02956971,0.0001781726,0.001079249,0.0001283503,0.0008113434,0.08327416],"genre_scores_gemma":[0.9913032,0.0002182569,0.001820062,0.004268299,0.0005971665,0.00001734222,0.000184551,0.000009175676,0.00158197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6262951,"threshold_uncertainty_score":0.833757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02621808073678083,"score_gpt":0.2752626342769273,"score_spread":0.2490445535401465,"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."}}