{"id":"W1685749731","doi":"10.18187/pjsor.v8i3.518","title":"Vector Exponential Models and Second Order Inference","year":2012,"lang":"en","type":"article","venue":"Pakistan Journal of Statistics and Operation Research","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Exponential function; Statistical inference; Bayesian probability; Quantile; Applied mathematics; Inference; Statistics; Scalar (mathematics); Bayesian inference; Context (archaeology); Taylor series; Econometrics; Artificial intelligence; Computer science; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001643506,0.00007638853,0.0001286406,0.0001321461,0.0002202826,0.0004672912,0.0002006004,0.0000402988,0.00006226956],"category_scores_gemma":[0.0001199864,0.00006257177,0.000009650395,0.000143762,0.0001017463,0.0007922847,0.0001114986,0.0003146759,0.00000369095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002119609,"about_ca_system_score_gemma":0.0001724715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001492262,"about_ca_topic_score_gemma":0.00001047555,"domain_scores_codex":[0.998744,0.0001341372,0.0003039923,0.0001196771,0.0004394091,0.000258826],"domain_scores_gemma":[0.998454,0.0002639337,0.00007226897,0.0001158929,0.0008397047,0.0002542297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002131521,0.00005769879,0.0004187416,0.00003338176,0.00001643393,0.00001214864,0.002777949,0.0002324592,0.002415337,0.9713078,0.0008808806,0.02182587],"study_design_scores_gemma":[0.0009872792,0.0007347767,0.005081857,0.00009353177,0.00001308257,0.0001841283,0.0005524195,0.8731707,0.001211524,0.115929,0.00170052,0.0003412075],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0452011,0.0008138286,0.9533333,0.0001976642,0.0001226578,0.00005226306,0.00001618575,0.000004290342,0.0002587663],"genre_scores_gemma":[0.8747451,0.0003391098,0.1246769,0.00003997373,0.00008715105,0.000001723471,0.00000136457,0.000004448974,0.0001042284],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8729383,"threshold_uncertainty_score":0.45061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1035637891551471,"score_gpt":0.4046286366337352,"score_spread":0.3010648474785882,"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."}}