{"id":"W7053424739","doi":"","title":"Vergleichende Morphometrie der Ellbogengelenke großer,\\nEllbogengelenksdysplasie prädisponierter Hunderassen","year":2018,"lang":"de","type":"dissertation","venue":"Refubium (Universitätsbibliothek der Freien Universität Berlin)","topic":"Magneto-Optical Properties and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human physiology; Hydrostatic pressure; Operation planning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001707138,0.0008168607,0.001512641,0.001403823,0.0002246022,0.0009682734,0.0003559508,0.000752438,0.003734776],"category_scores_gemma":[0.002663945,0.0005551523,0.001202697,0.0008976315,0.0005782284,0.0005511676,0.0003922934,0.0006231533,0.0006989184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003471066,"about_ca_system_score_gemma":0.0003649042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001204538,"about_ca_topic_score_gemma":0.001616911,"domain_scores_codex":[0.9987561,0.0002180102,0.0001367887,0.0002984371,0.0005078049,0.00008295911],"domain_scores_gemma":[0.9980921,0.0006307564,0.0005064014,0.0001653961,0.0004962916,0.0001091048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.1124282,0.004262247,0.2391125,0.007763628,0.006648691,0.0008198391,0.001528173,0.009509786,0.2969289,0.0006569521,0.002720671,0.3176204],"study_design_scores_gemma":[0.001570022,0.06467289,0.8152184,0.0006182821,0.007962066,0.002515715,0.001434916,0.006698912,0.08106274,0.00057416,0.01739667,0.0002752397],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842498,0.009397138,0.002749189,0.00006715559,0.0001815651,0.0002790326,0.001161995,0.00007251133,0.001841784],"genre_scores_gemma":[0.9816619,0.005003281,0.006966397,0.0001965859,0.0001183223,0.0008039517,0.001863862,0.00007354213,0.003312247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003734776,"threshold_uncertainty_score":0.01249403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111596707708925,"score_gpt":0.2109980208038193,"score_spread":0.19988205372673,"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."}}