{"id":"W7048784255","doi":"","title":"Multiple-point statistics: tools and methods","year":2020,"lang":"en","type":"preprint","venue":"QSpace (Queen's University Library)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flexibility (engineering); Categorical variable; Key (lock); Computational statistics; Multivariate statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.01111021,0.00186711,0.002004546,0.004671113,0.0009843844,0.00453213,0.004942509,0.002327411,0.02128616],"category_scores_gemma":[0.04604784,0.001461365,0.002619776,0.004930526,0.002291354,0.003856142,0.004657472,0.005279486,0.0159477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001365631,"about_ca_system_score_gemma":0.003941694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002928281,"about_ca_topic_score_gemma":0.002008019,"domain_scores_codex":[0.992657,0.003986847,0.0005695221,0.0006471639,0.001944418,0.000194984],"domain_scores_gemma":[0.9703034,0.02142112,0.00136602,0.00314146,0.003256503,0.000511361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007061386,0.0001344304,0.001828626,0.00142749,0.0002329816,0.0003348626,0.0003754878,0.08729327,0.0008717981,0.6255637,0.06165615,0.2202106],"study_design_scores_gemma":[0.00004416754,0.00003645635,0.0003500101,0.000439598,0.00003762838,0.0003185581,0.00008770647,0.1982468,0.0009671734,0.6691335,0.1302417,0.00009664574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001620401,0.0006177222,0.9949662,0.0003133985,0.00008133356,0.00008126316,0.0006072348,0.001607488,0.001563331],"genre_scores_gemma":[0.01222023,0.002161057,0.9779543,0.0003449266,0.0003986415,0.001059363,0.00139843,0.002199431,0.002263623],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02128616,"threshold_uncertainty_score":0.07120931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01754161582584465,"score_gpt":0.2552003176066434,"score_spread":0.2376587017807987,"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."}}