{"id":"W4254342849","doi":"10.1515/iupac.68.0042","title":"Collision Efficiency","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Glossary; Terminology; Field (mathematics); Computer science; Linguistics; Philosophy; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001650454,0.0003863131,0.0006457695,0.0004746012,0.0002480232,0.0003200259,0.003008274,0.0003823131,0.000636615],"category_scores_gemma":[0.001979894,0.0002644829,0.0003213178,0.001070717,0.0001967953,0.0002633223,0.001090888,0.0005726757,0.00001854283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007200297,"about_ca_system_score_gemma":0.002030829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001306987,"about_ca_topic_score_gemma":0.0001255164,"domain_scores_codex":[0.9947586,0.0002403144,0.0005496775,0.00101712,0.002782525,0.0006517766],"domain_scores_gemma":[0.9957107,0.0005063553,0.0002075245,0.002335344,0.0009543983,0.000285708],"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":[0.00001601451,0.0002506357,0.000003602129,0.00006952691,0.00003788637,0.00006325342,0.000007479327,0.00001385173,0.000002843909,0.00006220376,0.9878443,0.01162833],"study_design_scores_gemma":[0.0004740884,0.0001981325,0.000007473243,0.0002263995,0.00002374065,0.000009755808,0.000002912803,0.0008035925,0.0000330112,0.0005732722,0.9973004,0.0003472376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003350464,0.0005912521,0.101255,0.001047187,0.0004689105,0.0002102343,0.8962217,0.000149608,0.00002258981],"genre_scores_gemma":[0.00002261188,0.00143352,0.0006229325,0.0001780964,0.0003998033,0.00001436326,0.9969404,0.00001571353,0.0003725823],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1007187,"threshold_uncertainty_score":0.9999807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534452701664748,"score_gpt":0.4131786912496758,"score_spread":0.3978341642330284,"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."}}