{"id":"W2142682193","doi":"10.1002/cjs.5550340109","title":"Optimally and computations for relative surprise inferences","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Surprise; A priori and a posteriori; Mathematics; Humanities; Invariant (physics); Philosophy; Epistemology; Psychology; Mathematical physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001901402,0.00006947212,0.0001205197,0.0001358153,0.0001488449,0.0001837493,0.0002160189,0.00003330128,0.000003985287],"category_scores_gemma":[0.0001200108,0.00006565342,0.00002017224,0.0001016454,0.00008391239,0.0002447658,0.000008633008,0.0001036677,0.000001419115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003416864,"about_ca_system_score_gemma":0.001033354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001262496,"about_ca_topic_score_gemma":0.005933847,"domain_scores_codex":[0.9993809,0.0000241226,0.0002596925,0.00008705848,0.00008439933,0.0001637582],"domain_scores_gemma":[0.9987987,0.0002713282,0.0001556299,0.00006708718,0.0004677505,0.000239526],"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":[0.0000017555,0.000006150544,0.002776329,0.000009464709,0.00001300837,0.00004027046,0.0003961204,0.00361359,0.000006414866,0.9744197,0.005027758,0.01368942],"study_design_scores_gemma":[0.0003820969,0.0002859368,0.01984047,0.00006232076,0.00002688382,0.0001134097,0.00005252563,0.2311772,0.00001832251,0.7454332,0.002415649,0.0001920185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003792536,0.0002539126,0.9946969,0.000536127,0.0001622823,0.00004631757,0.0001088782,0.000005031783,0.0003980439],"genre_scores_gemma":[0.5223053,0.000006939486,0.4775506,0.00004800831,0.00003254559,6.574592e-7,0.000002893174,0.000002718404,0.00005028491],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5185128,"threshold_uncertainty_score":0.3311226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02474048134047621,"score_gpt":0.2384469686036217,"score_spread":0.2137064872631455,"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."}}