{"id":"W4249351541","doi":"10.1515/iupac.68.0043","title":"Collision, Elastic","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Physical and Chemical Molecular Interactions","field":"Chemistry","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":[0.0005881686,0.003265841,0.001543599,0.003822097,0.001058193,0.002846207,0.003787342,0.001687846,0.1266516],"category_scores_gemma":[0.005868949,0.0008251321,0.00197295,0.004984816,0.000421163,0.003254896,0.002176241,0.002278665,0.1903846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055351,"about_ca_system_score_gemma":0.001727983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01676109,"about_ca_topic_score_gemma":0.03961786,"domain_scores_codex":[0.9989243,0.0001240606,0.0001586614,0.0004290348,0.0002325208,0.0001313341],"domain_scores_gemma":[0.9987603,0.0002759201,0.000156856,0.0004632196,0.0002431228,0.0001006064],"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":[0.0001337401,0.00002969948,0.00112275,0.0009414784,0.00004608675,0.00002734359,0.00001414533,0.0004094686,0.0001286094,0.0006785002,0.9894063,0.007061929],"study_design_scores_gemma":[0.0002141068,0.00003259073,0.003857019,0.0003662033,0.00004676583,0.0001770133,0.00006277344,0.0009058771,0.0004437327,0.003807008,0.9900413,0.00004562298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002230831,0.000271896,0.0003266681,0.00006608295,0.00005071831,0.0000249708,0.9959528,0.001262063,0.001821782],"genre_scores_gemma":[0.0004546792,0.0001671018,0.0005301143,0.00007942133,0.00001320703,0.00006282288,0.9973816,0.0001732633,0.001137675],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1266516,"threshold_uncertainty_score":0.4236919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007985687413543914,"score_gpt":0.3781348920382689,"score_spread":0.3701492046247249,"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."}}