{"id":"W4237024730","doi":"10.1515/iupac.68.0039","title":"Collision Cross Section","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Thermal and Kinetic Analysis","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Glossary; Terminology; Section (typography); Field (mathematics); Collision; Computer science; Linguistics; Philosophy; Programming language; 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":[0.001011701,0.002164798,0.001609538,0.004510384,0.0009049187,0.002416188,0.002808312,0.001490205,0.1092344],"category_scores_gemma":[0.006276177,0.0008524647,0.001618049,0.005667363,0.0003332473,0.002161098,0.001648204,0.002216622,0.1362774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001419552,"about_ca_system_score_gemma":0.001733677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01480917,"about_ca_topic_score_gemma":0.02420083,"domain_scores_codex":[0.9988055,0.000127853,0.0001895455,0.0004556374,0.0003111054,0.0001103611],"domain_scores_gemma":[0.9976737,0.0006555265,0.0003178641,0.0006789674,0.0005580678,0.000115851],"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":[0.0001491024,0.0000364516,0.001841944,0.001398519,0.00007727152,0.00004094699,0.00002109126,0.0005494434,0.0003164421,0.0008186565,0.9861412,0.008609088],"study_design_scores_gemma":[0.0002070281,0.00003366502,0.007554321,0.0004972335,0.000070334,0.0001994279,0.00004936412,0.0006938061,0.00114244,0.003246498,0.9862461,0.00005982186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002009873,0.0002281469,0.000266289,0.00003442851,0.00004089929,0.00002001549,0.9972373,0.0007065993,0.00126522],"genre_scores_gemma":[0.0005826272,0.0001776029,0.0005459206,0.0000575639,0.00001342264,0.00009108266,0.9974125,0.0001465359,0.0009728338],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1092344,"threshold_uncertainty_score":0.3654253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138244899561572,"score_gpt":0.3877033123264578,"score_spread":0.3763208633308421,"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."}}