{"id":"W4252321412","doi":"10.1016/s1365-6937(16)30137-x","title":"Lydall buys Texel","year":2016,"lang":"en","type":"article","venue":"Filtration Industry Analyst","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Texel; Business; Computer science; Artificial intelligence","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":[0.001524863,0.000372685,0.0003796896,0.0008850077,0.006263008,0.004278461,0.001215131,0.009580131,0.1060474],"category_scores_gemma":[0.008700833,0.0003394236,0.0004859952,0.0003941743,0.002366233,0.001728958,0.001424505,0.006250603,0.02088055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006791103,"about_ca_system_score_gemma":0.01067188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1162446,"about_ca_topic_score_gemma":0.2752399,"domain_scores_codex":[0.9974879,0.0002462657,0.00008321027,0.0003577159,0.001410504,0.0004144159],"domain_scores_gemma":[0.9967573,0.001231591,0.00010556,0.0001380125,0.001202161,0.0005653863],"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":[0.00005232485,0.00001798751,0.0002188942,0.00005896724,0.00000457106,0.0005969277,0.0002089484,0.00002952708,0.0005543368,0.05057973,0.9228556,0.02482223],"study_design_scores_gemma":[0.000007040899,0.00001470725,0.0001611018,0.00005453676,0.000003049115,0.0001456505,0.0001247548,0.0000470269,0.0002320204,0.0009380567,0.9982645,0.000007514371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003072584,0.007269721,0.0007258048,0.306395,0.009781568,0.00005204096,0.0002467941,0.0004379929,0.6720185],"genre_scores_gemma":[0.02472125,0.002449386,0.0005993727,0.1295715,0.001760522,0.00002513562,0.0001205085,0.0001183125,0.8406339],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1162446,"threshold_uncertainty_score":0.3547639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02426157822040946,"score_gpt":0.2837155239751889,"score_spread":0.2594539457547794,"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."}}