{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00101976,0.004193037,0.002845238,0.003813021,0.00148277,0.005086324,0.004949803,0.003054623,0.4753645],"category_scores_gemma":[0.004520483,0.001338352,0.001497907,0.008671484,0.000723967,0.003549671,0.004179006,0.002562094,0.7472861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402596,"about_ca_system_score_gemma":0.001408227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01181814,"about_ca_topic_score_gemma":0.02108626,"domain_scores_codex":[0.999009,0.0001290603,0.0001090192,0.0002714609,0.0002571248,0.0002243256],"domain_scores_gemma":[0.9981759,0.0002907497,0.0001024542,0.000777743,0.0004215735,0.0002315606],"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":[0.00002341978,0.00001319324,0.000141306,0.0002245906,0.000008143489,0.000005657942,0.000007735658,0.0000834038,0.00005269626,0.0001962179,0.9971379,0.002105664],"study_design_scores_gemma":[0.0001356166,0.00002152374,0.001318286,0.0001847447,0.00001356144,0.00004074594,0.00005549083,0.0003862536,0.0004998705,0.0016825,0.9956331,0.00002837543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006994696,0.00007417514,0.0001421169,0.00009279333,0.00006924719,0.00001461553,0.994419,0.002397281,0.002720857],"genre_scores_gemma":[0.0002694273,0.00007297186,0.0002484795,0.00004946058,0.00001493253,0.00005595091,0.9970278,0.0003043758,0.001956488],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5246354,"threshold_uncertainty_score":0.7483288,"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."}}