{"id":"W3209208720","doi":"10.5281/zenodo.4001762","title":"Shot peening test rig test database","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Test (biology); Database; Peening; Computer science; Geology; Materials science; Metallurgy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000771635,0.002858699,0.001450786,0.004534242,0.0005727911,0.001279297,0.002983727,0.002657708,0.02231315],"category_scores_gemma":[0.003602338,0.0004894709,0.001382722,0.003201613,0.0004134832,0.001067992,0.00135035,0.0009875087,0.02472991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000908073,"about_ca_system_score_gemma":0.000933496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01043269,"about_ca_topic_score_gemma":0.02423636,"domain_scores_codex":[0.9979554,0.000143389,0.0002486865,0.0003972241,0.001084104,0.0001711335],"domain_scores_gemma":[0.997385,0.0004144154,0.0002272141,0.0005585015,0.001249193,0.0001658024],"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":[0.001189548,0.00111645,0.01863869,0.005239661,0.0002990102,0.001461654,0.0001796685,0.01520005,0.01412296,0.0008748519,0.7264211,0.2152563],"study_design_scores_gemma":[0.0004724056,0.001488601,0.1411073,0.001349875,0.000299126,0.003065289,0.0007879229,0.05519211,0.03532961,0.001996543,0.758518,0.0003932398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04012984,0.002654566,0.01093526,0.0001941756,0.0003617733,0.0006423631,0.9183605,0.01416827,0.01255319],"genre_scores_gemma":[0.02466283,0.0003394548,0.004848571,0.00006794451,0.00002871166,0.0003884587,0.9653274,0.0002936187,0.004043097],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02231315,"threshold_uncertainty_score":0.07464492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04167421654569421,"score_gpt":0.2363104270624106,"score_spread":0.1946362105167164,"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."}}