{"id":"W4214923685","doi":"10.1063/1.4751876.1","title":"10.1063/1.4751876.1","year":2012,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; McGill 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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.000555963,0.001884773,0.001627367,0.0009572657,0.0002583649,0.001587698,0.002203614,0.001408215,0.02387783],"category_scores_gemma":[0.0009296241,0.001815987,0.0009290794,0.001253272,0.0004403536,0.002435388,0.001147001,0.001572316,0.7259021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007131013,"about_ca_system_score_gemma":0.0002179002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002812176,"about_ca_topic_score_gemma":0.0002120655,"domain_scores_codex":[0.9925346,0.0001596503,0.001278237,0.001626957,0.002008638,0.002391902],"domain_scores_gemma":[0.9941816,0.0004427494,0.0009179575,0.003232226,0.0002481458,0.0009773572],"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":[0.0002256249,0.0008660869,0.00002519501,0.0002400817,0.000384423,0.0002312883,0.00002107876,0.000001177099,0.0000200106,0.00001797981,0.9940554,0.003911666],"study_design_scores_gemma":[0.0009306071,0.0003532531,0.0001244106,0.0001905388,0.0003722889,0.0002817043,0.00002686018,0.00000330782,0.00002165725,0.0000865555,0.9954646,0.002144209],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007626188,0.001443319,0.000004439215,0.00001094017,0.001100323,0.0009209192,0.9531746,0.00085832,0.04241087],"genre_scores_gemma":[0.001205261,0.00002253731,0.00002966952,0.0001643955,0.002303813,0.0002197831,0.9804121,0.0005996416,0.01504283],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7020243,"threshold_uncertainty_score":0.9998882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01539081895258429,"score_gpt":0.2577247584796593,"score_spread":0.242333939527075,"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."}}