{"id":"W7045167757","doi":"","title":"The AgentMatcher Architecture Applied to Power Grid Transactions","year":2003,"lang":"en","type":"article","venue":"NPARC","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Architecture; Power grid; Power (physics); Grid; Database transaction","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":[0.003704547,0.0005815391,0.0009338547,0.0009722099,0.001167277,0.004173432,0.002210308,0.001642483,0.02062888],"category_scores_gemma":[0.008759296,0.0007388044,0.0008063451,0.001454756,0.0009078711,0.005936959,0.002449747,0.002042176,0.005376692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008760673,"about_ca_system_score_gemma":0.001566786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005045311,"about_ca_topic_score_gemma":0.00542286,"domain_scores_codex":[0.9982194,0.0006467409,0.0001880467,0.0003123446,0.0004919472,0.0001415307],"domain_scores_gemma":[0.9976433,0.0006127251,0.0001104583,0.001049549,0.0004221599,0.0001616764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008301361,0.0003094308,0.002272029,0.0004049247,0.0001927354,0.0004887013,0.0005686296,0.08496785,0.0057385,0.3640999,0.07837979,0.4617474],"study_design_scores_gemma":[0.0001518643,0.0001232616,0.0003448383,0.00007511435,0.0001038078,0.0002679889,0.0001328434,0.6806246,0.008771342,0.1767568,0.132598,0.00004943235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007367355,0.0002694865,0.9533871,0.001011331,0.0004337132,0.0002989944,0.0004494194,0.01413341,0.02264916],"genre_scores_gemma":[0.2772903,0.0008088276,0.677054,0.0005212551,0.0002509692,0.000399108,0.001723665,0.0018665,0.0400855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02062888,"threshold_uncertainty_score":0.06901044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007169565204421409,"score_gpt":0.2317097774006805,"score_spread":0.2245402121962591,"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."}}