{"id":"W2556418416","doi":"10.18849/ve.v1i4.70","title":"Building a Business Case for EBVM","year":2016,"lang":"en","type":"article","venue":"Veterinary Evidence","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal College of Physicians and Surgeons of Canada","funders":"","keywords":"Icon; Art; Library science; Computer science","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":[0.0004887905,0.0001025308,0.0001978794,0.0001105171,0.0002008487,0.00006113048,0.000221578,0.00005148457,0.0001807663],"category_scores_gemma":[0.0007744737,0.00009308804,0.00006667161,0.0001939013,0.00004496816,0.0006204783,0.0001203144,0.00004058585,0.0001370031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001056633,"about_ca_system_score_gemma":0.00002547975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002429472,"about_ca_topic_score_gemma":0.00001637155,"domain_scores_codex":[0.9992537,0.0000149351,0.000277691,0.0001982227,0.0000188238,0.000236569],"domain_scores_gemma":[0.999114,0.0003988819,0.000123274,0.0002565448,0.00004733027,0.00005992031],"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":[0.001032104,0.0004989596,0.1037165,0.001057127,0.0003655837,0.003384436,0.009304197,0.00001136178,0.03848192,0.3365001,0.01761582,0.4880318],"study_design_scores_gemma":[0.003846669,0.002161209,0.2201044,0.002614975,0.00003599186,0.005030783,0.0005589965,0.0005619792,0.0008739029,0.2196149,0.5415492,0.003046973],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736062,0.0009684552,0.02228376,0.001986063,0.0003784226,0.0001957788,0.00003997939,0.00004965157,0.000491724],"genre_scores_gemma":[0.9928758,0.000303264,0.005597163,0.0001153711,0.00009731785,0.00004641079,6.516573e-7,0.00001581988,0.0009482424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5239334,"threshold_uncertainty_score":0.379602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2566044462553672,"score_gpt":0.3405715390911747,"score_spread":0.08396709283580744,"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."}}