{"id":"W7036163618","doi":"","title":"Battlebots Season 2.0","year":2000,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Advanced Computational Techniques in Science and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Comedy; George (robot); Idiot; Adventure; Honor","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":[0.0004741539,0.001266453,0.0003866933,0.001200949,0.002891997,0.004000453,0.0008398211,0.0009659128,0.7368557],"category_scores_gemma":[0.0009804037,0.0005232792,0.0005341384,0.0005279314,0.0003617797,0.001292493,0.003568966,0.001645164,0.402747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001271366,"about_ca_system_score_gemma":0.001343429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01376955,"about_ca_topic_score_gemma":0.0606209,"domain_scores_codex":[0.9995078,0.00002385816,0.000009070532,0.00005243049,0.0002112782,0.0001956166],"domain_scores_gemma":[0.9990723,0.00002417505,0.00002274734,0.00003154736,0.0002862653,0.0005629025],"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":[0.00004569949,0.00002308726,0.0001323354,0.00002669433,0.000001123032,0.00004701303,0.00006626138,0.00001426185,0.0002872628,0.0005433355,0.9840047,0.01480818],"study_design_scores_gemma":[0.000007572522,0.00002732734,0.0007926743,0.0000251425,6.10125e-7,0.00003859478,0.0001244996,0.00002321729,0.000075784,0.00005556449,0.9988248,0.000004271541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00250096,0.0005108153,0.0004733379,0.001181959,0.007299131,0.0002474654,0.001885298,0.001596511,0.9843046],"genre_scores_gemma":[0.004554752,0.0001875589,0.0001968699,0.0003419473,0.0006050053,0.00006104023,0.001336138,0.0004086712,0.9923081],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7368557,"threshold_uncertainty_score":0.3753434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005544818643448937,"score_gpt":0.1956461257766872,"score_spread":0.1901013071332383,"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."}}