{"id":"W2306490476","doi":"10.3109/10520295.2015.1127426","title":"News from the Biological Stain Commission, No. 17","year":2016,"lang":"en","type":"article","venue":"Biotechnic & Histochemistry","topic":"Biological Stains and Phytochemicals","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Stain; Political science; Diagnostic test; Library science; European commission; Medicine; Pathology; Business; Law; Computer science; Veterinary medicine; Staining; European union","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":[0.00208384,0.0006920703,0.000501526,0.0009292265,0.002324173,0.005427561,0.0006554514,0.005377968,0.09654634],"category_scores_gemma":[0.006245738,0.0004200023,0.0006000687,0.0009130199,0.0009886398,0.002546452,0.0009455393,0.00643756,0.08863445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158357,"about_ca_system_score_gemma":0.002732984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007738756,"about_ca_topic_score_gemma":0.02065792,"domain_scores_codex":[0.9983255,0.0001709622,0.00007625806,0.0001547536,0.001123133,0.0001493732],"domain_scores_gemma":[0.9966409,0.0007381166,0.0002123891,0.0001705078,0.001642867,0.0005951744],"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":[0.00002213926,0.000007957116,0.0000524486,0.00002937042,0.000001199486,0.00003665981,0.00001403488,0.000004676182,0.0001403986,0.000439157,0.9927118,0.006540139],"study_design_scores_gemma":[0.000004069011,0.0000101651,0.000320757,0.00003599583,0.000001601766,0.00002832881,0.00003984637,0.000009033904,0.00009653004,0.0001111998,0.9993392,0.000003428029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001550209,0.03207329,0.001070355,0.3229329,0.234268,0.0001448382,0.003661119,0.001133822,0.4031655],"genre_scores_gemma":[0.003565054,0.007247466,0.0004062402,0.1129636,0.01635088,0.0000564976,0.001622401,0.0002809092,0.8575071],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09654634,"threshold_uncertainty_score":0.3229797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02839661541683582,"score_gpt":0.2649285151245294,"score_spread":0.2365318997076936,"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."}}