{"id":"W4240413775","doi":"10.1063/1.4820018.2","title":"10.1063/1.4820018.2","year":2013,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Atomic Energy (Canada); University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","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":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0003519701,0.001925802,0.001681721,0.001024827,0.0002509188,0.002780182,0.002483625,0.001405327,0.03166639],"category_scores_gemma":[0.001134289,0.001825978,0.0008933521,0.00131135,0.0004827602,0.002499118,0.00108484,0.001547212,0.8043984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006689745,"about_ca_system_score_gemma":0.0002570847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009060602,"about_ca_topic_score_gemma":0.0002815956,"domain_scores_codex":[0.9924577,0.0001444469,0.00138454,0.001992435,0.001988993,0.002031889],"domain_scores_gemma":[0.99405,0.0004286428,0.0009382418,0.003396659,0.0003676375,0.0008188564],"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":[0.0001189136,0.0006015063,0.000007034336,0.0002055764,0.0003457597,0.0003154715,0.00001209483,0.000002802008,0.00001577957,0.00001259596,0.9948568,0.003505679],"study_design_scores_gemma":[0.001002467,0.0004785764,0.00007615338,0.00022523,0.0002110609,0.000229438,0.00003369565,0.00001740834,0.00001316764,0.0001876326,0.9953839,0.002141328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001625749,0.0004914051,0.000004063376,0.00001703616,0.0008127588,0.001304112,0.9513674,0.0009327082,0.04490793],"genre_scores_gemma":[0.0003279092,0.00003332548,0.00003693399,0.0002116555,0.001311152,0.0004109225,0.9664705,0.0005774274,0.03062015],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.772732,"threshold_uncertainty_score":0.999891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403814314742581,"score_gpt":0.2460538172609329,"score_spread":0.2320156741135072,"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."}}