{"id":"W1568162535","doi":"","title":"PHE/CUPR Forum Abstracts","year":2012,"lang":"fr","type":"article","venue":"Revue phénEPS / PHEnex Journal","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002399026,0.0004053905,0.0008912086,0.0003429301,0.0006931178,0.0004990534,0.0005704663,0.0002530316,0.02679877],"category_scores_gemma":[0.000258982,0.0005192026,0.0005945849,0.0002894839,0.0002643096,0.001938609,0.0002508615,0.0007314235,0.05253506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000626029,"about_ca_system_score_gemma":0.0000608505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007453391,"about_ca_topic_score_gemma":0.00001463192,"domain_scores_codex":[0.9960702,0.00004325743,0.001568444,0.0005140904,0.00008322853,0.001720788],"domain_scores_gemma":[0.9972726,0.0001155395,0.00138518,0.0004785692,0.00008969918,0.0006584459],"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":[0.00003222391,0.0005958292,0.06105834,0.0001639279,0.0006343444,0.00003844651,0.004158398,0.0005882411,0.00001025562,0.09389272,0.8160787,0.02274864],"study_design_scores_gemma":[0.0008526415,0.00005755121,0.008636299,0.0001906039,0.00007006292,0.0005529066,0.00305618,0.0004247106,0.00003935536,0.007740969,0.9777568,0.000621898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04984418,0.2132697,0.0008380429,0.01050571,0.09235448,0.0002640059,0.0007068876,0.00004065166,0.6321764],"genre_scores_gemma":[0.4267228,0.01725715,0.002333155,0.0007781207,0.007066039,0.000009316932,0.00001085116,0.00007453228,0.545748],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3768786,"threshold_uncertainty_score":0.9997259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0555345106864178,"score_gpt":0.2247574726848945,"score_spread":0.1692229619984767,"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."}}