{"id":"W4200001465","doi":"10.32920/16777663.v1","title":"Development Of A Biaxial Testing Apparatus","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"","keywords":"Arduino; Stepper; Microcontroller; Software; Computer science; Compression (physics); Component (thermodynamics); Mechanical engineering; Engineering; Embedded system; Materials science; Operating system","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":[0.000144075,0.0001432884,0.0002330906,0.0001053925,0.00002172872,0.00004531958,0.000173099,0.0001716587,0.0001398138],"category_scores_gemma":[0.0001176632,0.0001445851,0.00004785185,0.0002082564,0.000007487138,0.00002020073,0.0002744938,0.000426297,0.00001316946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004703293,"about_ca_system_score_gemma":0.0001959764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007979385,"about_ca_topic_score_gemma":0.000008270247,"domain_scores_codex":[0.9990822,0.000009243943,0.0003373468,0.0001691425,0.0002133174,0.0001887597],"domain_scores_gemma":[0.9994859,0.00005931339,0.00001747246,0.0002689507,0.00009121591,0.00007722103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000219161,0.0000550465,0.00001014128,0.002129141,0.0001940602,0.000009982867,0.0004996184,0.7755539,0.1396685,0.0005737023,0.0004240117,0.08087968],"study_design_scores_gemma":[0.00007471922,0.000005288034,0.00005411869,0.0002330911,0.000005695617,0.000001765346,0.0000477197,0.8913947,0.1068046,0.00002859991,0.001133301,0.0002164214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2172809,0.0003397183,0.762747,0.000007096613,0.0005145968,0.0001874707,0.00000565854,0.0005454753,0.01837206],"genre_scores_gemma":[0.6012973,0.00001009135,0.3983959,0.000002098,0.0000550052,0.00004540343,0.000034417,0.00002645675,0.0001332971],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3840164,"threshold_uncertainty_score":0.5896009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07647859749782847,"score_gpt":0.2841873194093398,"score_spread":0.2077087219115113,"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."}}