{"id":"W6969356567","doi":"10.5281/zenodo.4533894","title":"Empis (Enoplempis) mira","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Department of National Defence","funders":"","keywords":"Seta; Femur; Hindlimb; Tibia","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":[0.0002238021,0.0007343895,0.0003262793,0.00121583,0.001062921,0.0004115122,0.0004609995,0.0004819914,0.009422251],"category_scores_gemma":[0.0003433578,0.0001905247,0.0001657013,0.0004028941,0.0005325627,0.0009388645,0.001482843,0.0005107109,0.003882129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002181025,"about_ca_system_score_gemma":0.000131591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005321674,"about_ca_topic_score_gemma":0.001252839,"domain_scores_codex":[0.9998084,0.0000222664,0.0000192262,0.00007301232,0.00005592921,0.00002127225],"domain_scores_gemma":[0.9998417,0.00002579449,0.00006074544,0.00002072246,0.00003340835,0.00001763001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001419706,0.0002435912,0.07004374,0.001513945,0.0001785247,0.006199547,0.002473403,0.001246025,0.1295087,0.01061816,0.01733018,0.7592245],"study_design_scores_gemma":[0.0000945888,0.0009018572,0.4642355,0.0006371299,0.0002582337,0.01993966,0.00254685,0.001596492,0.01555227,0.004683434,0.489478,0.00007596039],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6130676,0.00872295,0.02536452,0.0005636879,0.0004592533,0.0004432768,0.00437699,0.001415398,0.3455863],"genre_scores_gemma":[0.9551116,0.001969368,0.01428678,0.0003340122,0.0001368272,0.0002506327,0.002346715,0.00006372276,0.02550028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009422251,"threshold_uncertainty_score":0.03152055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0171093433535633,"score_gpt":0.2231841653106325,"score_spread":0.2060748219570692,"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."}}