{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001275445,0.002579186,0.001917387,0.006321789,0.0009888343,0.003013403,0.003192754,0.001238777,0.07780111],"category_scores_gemma":[0.008166335,0.0007011213,0.002239513,0.006805891,0.0003513379,0.002355339,0.001610418,0.002138344,0.11105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001694836,"about_ca_system_score_gemma":0.001621372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01329946,"about_ca_topic_score_gemma":0.02301653,"domain_scores_codex":[0.9977851,0.0001920964,0.0004187288,0.0007835969,0.0006343072,0.0001861189],"domain_scores_gemma":[0.9968913,0.0007923117,0.0003904088,0.0009269844,0.000879987,0.0001190504],"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":[0.0001926824,0.00006541287,0.003309484,0.001677148,0.00009667248,0.00003124636,0.00003278743,0.000722764,0.0004139196,0.0009130514,0.9743043,0.01824059],"study_design_scores_gemma":[0.0002209928,0.00005854815,0.01375211,0.0005410687,0.0001044248,0.0002871006,0.0001003107,0.001353372,0.001635208,0.003673867,0.9781688,0.00010408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005079448,0.0002927131,0.0004654512,0.00004987441,0.00007881603,0.00004149472,0.9955503,0.0009268439,0.002086545],"genre_scores_gemma":[0.0009677929,0.0002046559,0.001079909,0.00006529659,0.00001663724,0.0001516063,0.9959459,0.0001528561,0.001415362],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07780111,"threshold_uncertainty_score":0.2602707,"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."}}