{"id":"W4255144882","doi":"10.1515/iupac.68.0045","title":"Collision Frequency Factor","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; Field (mathematics); Computer science; Collision; Linguistics; Philosophy; Mathematics; Programming language","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003616675,0.0004232273,0.0007013931,0.0001321587,0.0002737025,0.0002202074,0.0007332807,0.0003533108,0.04044699],"category_scores_gemma":[0.0003267909,0.0002660306,0.0002188303,0.0001847382,0.000177682,0.0001138067,0.0002047071,0.0002277335,0.00006938178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002864065,"about_ca_system_score_gemma":0.0004822068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005993872,"about_ca_topic_score_gemma":0.0008247097,"domain_scores_codex":[0.9970462,0.0001196865,0.0005355323,0.0006020938,0.001233736,0.0004627293],"domain_scores_gemma":[0.9980697,0.00008822121,0.0003389662,0.0008949042,0.0004035469,0.0002046822],"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":[0.00005621294,0.00009601788,0.000005176303,0.00004906292,0.00003207524,0.00004328225,0.000006842532,0.000001062665,0.007667688,0.000006169989,0.991212,0.0008244846],"study_design_scores_gemma":[0.0004022944,0.0001456048,0.00003610483,0.0002331138,0.0001263041,0.000006313022,0.000009585174,0.000001308936,0.001707412,0.0002187722,0.9967167,0.0003965345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005396795,0.00056315,0.0002598898,0.0003120236,0.0009270734,0.0001695382,0.9922343,0.00007762224,0.00005961173],"genre_scores_gemma":[0.0002093521,0.0005136955,0.0001370826,0.0001742323,0.0009266735,0.000009835118,0.9969282,0.00003009558,0.001070905],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04037761,"threshold_uncertainty_score":0.9999792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372917843145385,"score_gpt":0.370354310138149,"score_spread":0.3566251317066952,"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."}}