{"id":"W7034928018","doi":"","title":"Wayside Technology Group, Inc. Reports 2017 Third Quarter Results and Declares Quarterly Dividend","year":2017,"lang":"en","type":"other","venue":"","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Dividend; Quarter (Canadian coin); Earnings; Work (physics)","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":[0.003025865,0.0007433171,0.000506486,0.001786593,0.001473406,0.009428809,0.001254663,0.002825978,0.4927246],"category_scores_gemma":[0.008020358,0.0004489392,0.000606264,0.00133461,0.0008768143,0.003485101,0.002697864,0.002842022,0.3643063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563513,"about_ca_system_score_gemma":0.005504427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002672695,"about_ca_topic_score_gemma":0.007081718,"domain_scores_codex":[0.9977429,0.0001296414,0.00009022919,0.0001840526,0.001542492,0.0003106189],"domain_scores_gemma":[0.9944043,0.0007202691,0.0002440468,0.0008730367,0.002146536,0.001611691],"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":[0.00006711826,0.00007700587,0.0003908346,0.00003663921,0.000003515471,0.00007371358,0.00002466316,0.0000678088,0.0004019196,0.008175189,0.95553,0.03515143],"study_design_scores_gemma":[0.00001454139,0.00002452399,0.0004497433,0.0000280962,0.00000261387,0.0000485133,0.00006479037,0.000172968,0.0008444046,0.001563205,0.9967783,0.000008271491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002802796,0.0008091806,0.001945866,0.01086448,0.008370524,0.0001614626,0.004544634,0.003950834,0.9665503],"genre_scores_gemma":[0.002862103,0.0002345034,0.0002910893,0.0005474199,0.0002909369,0.0000345033,0.001550601,0.0005063622,0.9936825],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4927246,"threshold_uncertainty_score":0.7235668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005497766995081408,"score_gpt":0.2359552755140194,"score_spread":0.230457508518938,"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."}}