{"id":"W2349067261","doi":"","title":"High-yielding Multiplication Techniques of CMS Line BJ-1 A with Excellent Quality","year":2011,"lang":"en","type":"article","venue":"Seed","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Multiplication (music); Line (geometry); Quality (philosophy); Computer science; Chemistry; Mathematics; Physics; Combinatorics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004438315,0.0004763326,0.0003806277,0.0006021498,0.0009796792,0.0006789785,0.0006993298,0.0005538696,0.009396881],"category_scores_gemma":[0.0007677265,0.0002908893,0.0002783516,0.0009829154,0.0003488032,0.0007345568,0.0008176312,0.000878278,0.00489662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005062107,"about_ca_system_score_gemma":0.0004346257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004178456,"about_ca_topic_score_gemma":0.0008903858,"domain_scores_codex":[0.9996257,0.00005645385,0.00001411169,0.00006277303,0.0001870544,0.00005392395],"domain_scores_gemma":[0.9996394,0.00007770229,0.00007398223,0.00008164234,0.00006903647,0.00005830755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004229766,0.0000771581,0.001512742,0.000235149,0.00005540809,0.0004518414,0.0004088949,0.0006172928,0.9504052,0.01146548,0.005162935,0.02918493],"study_design_scores_gemma":[0.00009601117,0.0004053524,0.003124418,0.00003149345,0.00004817461,0.000803799,0.0001055396,0.002649311,0.9371253,0.003820995,0.05173776,0.00005196667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6771842,0.003773128,0.2274203,0.002095933,0.0005931338,0.0003603223,0.001442042,0.004396356,0.08273464],"genre_scores_gemma":[0.8687655,0.0006857605,0.1015897,0.0002040453,0.0001002796,0.000104311,0.000894975,0.001140248,0.02651522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009396881,"threshold_uncertainty_score":0.03143567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04655427570716397,"score_gpt":0.2681888664498291,"score_spread":0.2216345907426651,"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."}}