{"id":"W3206005506","doi":"10.1140/epjc/s10052-021-09655-y","title":"Recommended conventions for reporting results from direct dark matter searches","year":2021,"lang":"en","type":"article","venue":"ePubs (Science and Technology Facilities Council, Research Councils UK)","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":197,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Science and Technology Facilities Council; Azrieli Foundation; Kavli Foundation; Deutsche Forschungsgemeinschaft; U.S. Department of Energy","keywords":"Dark matter; Physics; Set (abstract data type); Data science; Neutrino; Inference; Computer science; Particle physics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1050822,0.003223794,0.004086177,0.02094541,0.003092216,0.01347447,0.01210517,0.01371638,0.07442427],"category_scores_gemma":[0.4644482,0.003565,0.004853758,0.02318808,0.003859327,0.009834372,0.006851558,0.01294524,0.1322689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005563434,"about_ca_system_score_gemma":0.01688103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0136962,"about_ca_topic_score_gemma":0.01237488,"domain_scores_codex":[0.8554544,0.05215823,0.05161102,0.005043867,0.03106497,0.004667563],"domain_scores_gemma":[0.3997135,0.1983196,0.060128,0.06409111,0.2664137,0.01133421],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000170491,0.00007611633,0.0006043211,0.002717262,0.00005832003,0.0001584931,0.0002479004,0.0005130235,0.0008001446,0.005003167,0.9502565,0.03939434],"study_design_scores_gemma":[0.000112617,0.00008803479,0.002446106,0.005351553,0.00007293964,0.0001781698,0.0003122188,0.0003425831,0.001044917,0.008364498,0.9815422,0.000144222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.002943202,0.01904917,0.2280902,0.1282055,0.1026997,0.02753924,0.2338087,0.03520565,0.2224588],"genre_scores_gemma":[0.01043964,0.02570647,0.441427,0.1200486,0.01766134,0.06130225,0.1775599,0.01878036,0.1270743],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8949178,"threshold_uncertainty_score":0.5557343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1291211950509212,"score_gpt":0.3309840483944166,"score_spread":0.2018628533434954,"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."}}