{"id":"W4210906135","doi":"10.1063/1.4820018.3","title":"10.1063/1.4820018.3","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":[0.0003438281,0.001927676,0.001681507,0.001025814,0.0002494667,0.002785702,0.002467713,0.001407009,0.03226477],"category_scores_gemma":[0.001109788,0.001827483,0.0008959257,0.001312422,0.0004846041,0.002557481,0.00109996,0.001533621,0.8065989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006665782,"about_ca_system_score_gemma":0.0002567956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008514657,"about_ca_topic_score_gemma":0.0002810466,"domain_scores_codex":[0.9924601,0.0001418378,0.001387241,0.00198856,0.001990331,0.002031886],"domain_scores_gemma":[0.9940649,0.0004292114,0.0009397864,0.003381792,0.0003677208,0.0008165889],"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":[0.0001203299,0.0006071922,0.000007438117,0.0002098835,0.0003455487,0.0003237975,0.00001213758,0.00000260635,0.00001599057,0.00001305502,0.9950655,0.003276501],"study_design_scores_gemma":[0.00100928,0.0004745805,0.00007858812,0.0002218562,0.000211076,0.0002330291,0.0000325744,0.00001664021,0.0000132756,0.0001898885,0.9953787,0.00214056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001574563,0.0004921258,0.000003908101,0.0000171672,0.0008150449,0.001340946,0.951416,0.0009377427,0.04481967],"genre_scores_gemma":[0.0003178423,0.00003417008,0.00003726395,0.0002230814,0.001301018,0.0004223674,0.9677063,0.0005888799,0.0293691],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7743341,"threshold_uncertainty_score":0.9998894,"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."}}