{"id":"W4238953908","doi":"10.1063/1.4820018.1","title":"10.1063/1.4820018.1","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":"","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001046613,0.004225072,0.002900374,0.003905634,0.00149411,0.004992262,0.004963271,0.003115909,0.4543911],"category_scores_gemma":[0.004979321,0.001284941,0.001514691,0.008726567,0.0007126586,0.003701966,0.004187407,0.002603182,0.7332985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001452095,"about_ca_system_score_gemma":0.001532044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01208091,"about_ca_topic_score_gemma":0.02133971,"domain_scores_codex":[0.998952,0.0001390777,0.000117098,0.0002804819,0.0002767202,0.0002346267],"domain_scores_gemma":[0.9980314,0.00031692,0.0001065153,0.0008363182,0.000469886,0.0002390475],"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":[0.00002234484,0.00001255306,0.0001247074,0.0002147323,0.000007677671,0.000005178506,0.000007083539,0.00008354426,0.00004877873,0.0001898808,0.9972847,0.001998747],"study_design_scores_gemma":[0.0001318024,0.0000223268,0.001275701,0.0001890581,0.00001366691,0.00003977602,0.00005426673,0.0004095369,0.0005046253,0.001866909,0.995463,0.00002945705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006787616,0.00007567975,0.0001422271,0.00009352789,0.00006909691,0.00001434159,0.9945745,0.002423611,0.002539048],"genre_scores_gemma":[0.0002480645,0.00007342914,0.000246994,0.00004840145,0.0000144574,0.00005380522,0.9972355,0.0002941286,0.001785145],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5456089,"threshold_uncertainty_score":0.7782449,"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."}}