{"id":"W7020355727","doi":"","title":"Kruger Products Doubles Production of Its Future Tissue Machine in Sherbrooke","year":2021,"lang":"en","type":"other","venue":"","topic":"Hemostasis and retained surgical items","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Production (economics); Animal production; Production system (computer science); Product (mathematics)","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":[0.0002003682,0.0002733276,0.00078761,0.0002730726,0.00001098366,0.000007603393,0.0000705553,0.0004287138,0.01196966],"category_scores_gemma":[0.00009665959,0.0001786507,0.00007946736,0.0005291086,0.0000440414,0.00001897373,0.00004048705,0.0003669408,0.00003663155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003986262,"about_ca_system_score_gemma":0.0001271876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001669939,"about_ca_topic_score_gemma":0.0003859572,"domain_scores_codex":[0.9984501,0.0000524097,0.0003818349,0.0005436994,0.0003400283,0.0002319141],"domain_scores_gemma":[0.9991674,0.000008751151,0.000124593,0.0004752903,0.0001325863,0.00009133447],"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":[0.000156758,0.0009808798,0.0009468213,0.009785014,0.0002778691,0.0003400659,0.0001681146,0.000003065,0.03414231,0.001139757,0.902306,0.04975339],"study_design_scores_gemma":[0.0006068368,0.00006612375,0.0002250848,0.001503996,0.00004660223,0.00005231366,0.00005821262,0.000005395491,0.03471189,0.000003042282,0.9625363,0.0001842081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001160186,0.08785377,0.00000742852,0.01083922,0.001921625,0.001543455,0.00001451995,0.0001228753,0.8965369],"genre_scores_gemma":[0.002263506,0.005690516,0.0008737586,0.0001188965,0.002165277,0.00002074184,0.0003059731,0.0002342436,0.9883271],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09179015,"threshold_uncertainty_score":0.9889336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024210698357094,"score_gpt":0.2881738723657261,"score_spread":0.2679317653821552,"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."}}