{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002489006,0.001318555,0.0005348221,0.003605739,0.001993494,0.004184393,0.00111181,0.002326681,0.3730009],"category_scores_gemma":[0.002591705,0.0007882956,0.00084716,0.0006926279,0.001045172,0.001873989,0.002232527,0.002523212,0.1677298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001880671,"about_ca_system_score_gemma":0.005890183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008016285,"about_ca_topic_score_gemma":0.02741361,"domain_scores_codex":[0.9966505,0.0002396995,0.00009067156,0.0004077836,0.002331957,0.0002793736],"domain_scores_gemma":[0.9955682,0.0006186688,0.0001800154,0.0004656454,0.001793632,0.001373788],"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":[0.0006814043,0.0004877186,0.001863412,0.0002781524,0.00001959076,0.001375286,0.0001698869,0.0004790133,0.0254462,0.01684689,0.5201523,0.4322001],"study_design_scores_gemma":[0.00004837522,0.0001743242,0.0008742588,0.000050631,0.00000624457,0.0005367569,0.000030914,0.0002696885,0.004347155,0.0003545707,0.9932923,0.00001484466],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00870165,0.003697281,0.01157926,0.004628924,0.003824185,0.0004786195,0.001498909,0.007013638,0.9585776],"genre_scores_gemma":[0.005155558,0.0006073121,0.00357153,0.0004055897,0.0001845181,0.00002924421,0.0006234261,0.0007065409,0.9887162],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3730009,"threshold_uncertainty_score":0.8943381,"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."}}