{"id":"W1573579341","doi":"10.14429/dsj.20.6213","title":"Araldite - A Laboratory Assessment","year":2014,"lang":"en","type":"article","venue":"Defence Science Journal","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Araldite; Epoxy; Thermosetting polymer; Adhesive; Materials science; Composite material; Forensic engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001086202,0.0006239896,0.0003269481,0.0006381974,0.0004969136,0.0007300834,0.0008572114,0.0006827859,0.003677901],"category_scores_gemma":[0.001095257,0.0001926249,0.0003993031,0.0004880997,0.0003920752,0.0004933223,0.0006183703,0.0005309251,0.001724079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005105376,"about_ca_system_score_gemma":0.0007650651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001319866,"about_ca_topic_score_gemma":0.00296699,"domain_scores_codex":[0.9986009,0.0002125654,0.00009319281,0.0002366768,0.0007732083,0.00008344273],"domain_scores_gemma":[0.998906,0.0001130446,0.0001435433,0.0001624066,0.0006106745,0.00006434676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002801119,0.0001671217,0.0009875618,0.0001234562,0.00001383424,0.00006683965,0.00004773548,0.0002747622,0.9878346,0.0001292928,0.0002003663,0.009874354],"study_design_scores_gemma":[0.00001236403,0.001300957,0.001951421,0.00001828579,0.00003233915,0.0001670543,0.00005300234,0.0004977707,0.9903059,0.00006403939,0.005584481,0.00001227744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8878255,0.00404084,0.07405435,0.0002273006,0.0001641863,0.001221198,0.003304694,0.00121192,0.02795002],"genre_scores_gemma":[0.9136951,0.003301946,0.04752952,0.0001214545,0.00004795075,0.0007349328,0.002916402,0.0002464333,0.03140625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003677901,"threshold_uncertainty_score":0.01230383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206819826776191,"score_gpt":0.3125479675024952,"score_spread":0.3004797692347333,"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."}}