{"id":"W7043138897","doi":"","title":"SiW-ECAL, electronics, DAQ, analysis meeting","year":2009,"lang":"en","type":"other","venue":"International Linear Collider","topic":"Advanced Materials and Semiconductor Technologies","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aisle; Thursday; Session (web analytics); Boulevard; Front (military); Architecture","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":["insufficient_payload"],"category_scores_codex":[0.001551083,0.001433678,0.0009407327,0.001384297,0.001826318,0.004540787,0.00150378,0.001832135,0.6851885],"category_scores_gemma":[0.001910038,0.0007014461,0.0006523951,0.001367763,0.0003943239,0.001808452,0.001832894,0.001908897,0.6203802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002119014,"about_ca_system_score_gemma":0.002015734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004612522,"about_ca_topic_score_gemma":0.01148803,"domain_scores_codex":[0.998984,0.00007847219,0.00002121403,0.0002228245,0.0005375498,0.0001558348],"domain_scores_gemma":[0.9986009,0.00008183161,0.00003128882,0.0001927272,0.0008087251,0.0002844396],"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":[0.0001725077,0.00002991843,0.0002545272,0.00007322278,0.000008349143,0.00006465938,0.00002334939,0.0001336385,0.003773511,0.001369333,0.9697438,0.02435311],"study_design_scores_gemma":[0.00002889113,0.00005295483,0.001170826,0.0000219475,0.000005459389,0.00009558377,0.00005800972,0.0004215056,0.002036055,0.0004023598,0.995693,0.00001335888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003275491,0.001214633,0.0118049,0.003849589,0.005018615,0.0004050105,0.01844607,0.01230671,0.9436789],"genre_scores_gemma":[0.007136527,0.0003231622,0.003118204,0.0006491266,0.000399337,0.0001288618,0.00738565,0.003359411,0.9774997],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3148115,"threshold_uncertainty_score":0.4490404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01233114716706975,"score_gpt":0.2814771981226463,"score_spread":0.2691460509555765,"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."}}