{"id":"W2917247877","doi":"10.1071/pvv2013n165toc","title":"Preview Number 165","year":2013,"lang":"en","type":"article","venue":"Preview","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000476874,0.0001318326,0.0005121353,0.00003296862,0.0000798916,0.0001021401,0.000250784,0.00003423583,0.1588087],"category_scores_gemma":[0.0000888858,0.000127339,0.0001724268,0.0001352004,0.00005423845,0.0003455586,0.0001222577,0.00006391206,0.5252994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003692521,"about_ca_system_score_gemma":0.000005826155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007568159,"about_ca_topic_score_gemma":0.000001439571,"domain_scores_codex":[0.9987892,0.00001186107,0.000545754,0.0003761617,0.00001892568,0.0002580953],"domain_scores_gemma":[0.999286,0.00002366319,0.0002175639,0.0003690372,0.00002416511,0.00007958482],"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":[3.535045e-7,0.00004291884,0.009688074,0.0003993518,0.00006718055,4.587811e-7,0.0001481603,7.07599e-7,2.792135e-7,0.1427861,0.8172724,0.02959393],"study_design_scores_gemma":[0.00009615793,0.000004244668,0.002140043,0.00008535947,0.00000826221,0.000001906798,0.00001618129,0.00003888511,9.827368e-7,0.01079968,0.9866441,0.0001641714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001024296,0.1199371,0.00007525267,0.000703547,0.00108024,0.0005206233,0.00004078028,0.00004522471,0.8765729],"genre_scores_gemma":[0.03942058,0.1726038,0.00223235,0.002878593,0.0002492944,0.0005472673,0.00001340868,0.00004250275,0.7820122],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3664907,"threshold_uncertainty_score":0.8419603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0603480759622011,"score_gpt":0.2262519466557914,"score_spread":0.1659038706935903,"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."}}