{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009989677,0.0042805,0.002889256,0.003975435,0.001474269,0.005017449,0.004703546,0.003335166,0.4337609],"category_scores_gemma":[0.004955751,0.001301983,0.001450003,0.008985315,0.0007006197,0.003928085,0.003931973,0.002623111,0.7355969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461434,"about_ca_system_score_gemma":0.001565488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0121095,"about_ca_topic_score_gemma":0.0225312,"domain_scores_codex":[0.9989266,0.0001471171,0.0001227265,0.000305723,0.0002699119,0.0002277987],"domain_scores_gemma":[0.998094,0.0003000514,0.0001119329,0.0008156812,0.0004399301,0.0002384254],"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":[0.00002059083,0.00001295304,0.0001283145,0.000207169,0.000007383102,0.000005496449,0.000007257181,0.0000836491,0.00004560357,0.0001882742,0.9972971,0.001996258],"study_design_scores_gemma":[0.0001150301,0.0000204528,0.001176052,0.0001794964,0.00001304825,0.00004374505,0.0000537663,0.0004141006,0.0004365142,0.001700966,0.9958187,0.00002811464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006739507,0.00007982986,0.0001333219,0.0000905777,0.00006095888,0.00001395439,0.994869,0.002184205,0.002500883],"genre_scores_gemma":[0.0002326165,0.00007000283,0.0002403388,0.00004853396,0.00001273982,0.00005074794,0.9972172,0.0002399021,0.001887896],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5662391,"threshold_uncertainty_score":0.8076713,"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."}}