{"id":"W7038739229","doi":"","title":"An investigation of the applications of localization delocalization matrices on the prediction of reaction characteristics","year":2024,"lang":"en","type":"article","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"Forensic Entomology and Diptera Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; University of King's College","funders":"","keywords":"Delocalized electron; Matrix (chemical analysis); Context (archaeology); Field (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":[],"consensus_categories":[],"category_scores_codex":[0.0001800246,0.0001179002,0.0001444454,0.0001217921,0.0006127469,0.00001221806,0.0002853698,0.0001286327,0.00001656922],"category_scores_gemma":[0.0000280805,0.00006054405,0.000114388,0.001039473,0.0007093761,0.0003002419,0.00008874159,0.0001360603,0.000001933012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003426945,"about_ca_system_score_gemma":0.00009098684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008666585,"about_ca_topic_score_gemma":0.0001030948,"domain_scores_codex":[0.9989266,0.0002317033,0.0002232463,0.0002335829,0.0002860718,0.0000987397],"domain_scores_gemma":[0.999062,0.0002024374,0.0002541418,0.0001277436,0.0003097232,0.00004393135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004492665,0.0003476334,0.09719279,0.0002229602,0.000227419,0.00002885911,0.0006388254,0.003194769,0.07023092,0.819113,0.000439461,0.007914149],"study_design_scores_gemma":[0.0005778472,0.001198713,0.839713,0.0009378999,0.0007000057,0.00006278235,0.004679157,0.01529234,0.02836687,0.003478474,0.104485,0.0005078489],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934629,0.00004039831,0.00266115,0.0005346796,0.0003102356,0.0003558608,0.0001909272,0.00005799064,0.002385904],"genre_scores_gemma":[0.9991944,0.0001037229,0.00003316399,0.00003214954,0.0000717504,7.015673e-7,0.0001935879,0.000001098388,0.0003694477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8156345,"threshold_uncertainty_score":0.4712816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009930966528277678,"score_gpt":0.1767584455549511,"score_spread":0.1668274790266734,"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."}}