{"id":"W3162923030","doi":"10.2139/ssrn.3416323","title":"A Methodology for Obtaining Primary and Secondary Creep Characteristics from Indentation Experiments, Using a Recess","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"Leverhulme Trust","keywords":"Creep; Indentation; Materials science; Structural engineering; Primary (astronomy); Forensic engineering; Composite material; Engineering; Physics","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":[0.001051879,0.0007385517,0.0006850205,0.001097801,0.001017965,0.0005034351,0.001376638,0.0009059,0.001605383],"category_scores_gemma":[0.001375161,0.000709618,0.0003867493,0.0007312131,0.0005812775,0.0007328144,0.0005156543,0.001490753,0.001279019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000324498,"about_ca_system_score_gemma":0.0009597318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006811153,"about_ca_topic_score_gemma":0.003053032,"domain_scores_codex":[0.9991876,0.00004932304,0.00007515853,0.0002245044,0.0004254396,0.00003789354],"domain_scores_gemma":[0.9983611,0.0002795004,0.0002526444,0.0005655139,0.0004954999,0.00004575155],"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":[0.00001715463,0.00003827877,0.000177234,0.0001086773,0.000006208018,0.00003181901,0.00005875558,0.0001184271,0.9893721,0.0003652156,0.0001091861,0.009596961],"study_design_scores_gemma":[0.00001783627,0.0004038999,0.003617433,0.00002093772,0.00002845415,0.0005531625,0.00005331157,0.003593951,0.9830687,0.0002914525,0.008309248,0.00004167499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0603914,0.0006910916,0.9332226,0.00009780002,0.0001386916,0.0008644991,0.0007796186,0.001723441,0.00209081],"genre_scores_gemma":[0.1370921,0.0007252355,0.8558923,0.0000798181,0.00003083784,0.001441873,0.0005405464,0.0001825027,0.004014827],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001605383,"threshold_uncertainty_score":0.005562901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0361749797725212,"score_gpt":0.2761896442206954,"score_spread":0.2400146644481742,"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."}}