{"id":"W4398394610","doi":"10.7910/dvn/apacse/ikhawj","title":"SER04 AEV W-E STATIONARY SMOOTH.tab","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Mechanical stress and fatigue analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Bridge (graph theory); Truss; Modular design; Structural engineering; Truss bridge; Engineering; Mathematics; Computer science; Biology; Anatomy; Programming language","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008414007,0.004508558,0.0022997,0.004103468,0.0009427785,0.003197196,0.003510349,0.003283781,0.1301827],"category_scores_gemma":[0.004336963,0.0009494436,0.002175771,0.005571557,0.0005730983,0.001923702,0.001960534,0.001768202,0.2442051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001213349,"about_ca_system_score_gemma":0.001702099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01752659,"about_ca_topic_score_gemma":0.02656158,"domain_scores_codex":[0.999115,0.0001078746,0.00008546877,0.0003380855,0.000194646,0.0001588047],"domain_scores_gemma":[0.9985594,0.000357711,0.0001161335,0.0004560722,0.0003588933,0.0001517598],"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":[0.00005677142,0.00002045579,0.0003170226,0.0005185573,0.00002479762,0.00001290133,0.000009949617,0.0002541656,0.0001335883,0.0002387013,0.9968905,0.001522514],"study_design_scores_gemma":[0.0004149405,0.00005794572,0.003444478,0.0003307284,0.00005906127,0.00008169014,0.00007399132,0.001305787,0.0008960831,0.002321553,0.9909589,0.0000548175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001063422,0.00007245527,0.00007298421,0.00003807344,0.00003203329,0.000007331561,0.9978977,0.001227875,0.0005450319],"genre_scores_gemma":[0.0003315566,0.00005454199,0.0002291598,0.00003942511,0.000009246693,0.00003752615,0.9984936,0.0001966541,0.0006083946],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8698173,"threshold_uncertainty_score":0.4355044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558310935783049,"score_gpt":0.2164028113087899,"score_spread":0.2008197019509594,"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."}}