{"id":"W4398274435","doi":"10.7910/dvn/fmk6sq/2nbxyt","title":"657163_4_S1C(Colour_1).tif","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Reconstructive Facial Surgery Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Methylene blue; Staining; Lymph; Degree (music); Computer science; Pathology; Computational biology; Medicine; Chemistry; Biology; Physics; Biochemistry; Acoustics","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":["insufficient_payload"],"category_scores_codex":[0.0009020168,0.003402955,0.002235538,0.004058387,0.0009880196,0.003544149,0.004108,0.003447233,0.3730354],"category_scores_gemma":[0.006847522,0.0009673168,0.002050139,0.006105665,0.0006732108,0.00200474,0.002903925,0.00201732,0.3607799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001936702,"about_ca_system_score_gemma":0.002316528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02862353,"about_ca_topic_score_gemma":0.04584887,"domain_scores_codex":[0.9991365,0.000125709,0.00008434828,0.0002746096,0.0001689963,0.0002098291],"domain_scores_gemma":[0.9980187,0.0006391072,0.0001784738,0.0003566752,0.0005272637,0.0002796859],"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":[0.00004611536,0.00001211331,0.0002513271,0.0006831361,0.0000216003,0.00000899046,0.00001182756,0.0001522446,0.00005722403,0.0002068184,0.9973971,0.001151504],"study_design_scores_gemma":[0.0005093268,0.00003353139,0.002304642,0.0005906601,0.00005560498,0.00006176296,0.00007014837,0.0004152202,0.0003575665,0.001808895,0.9937479,0.0000447349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004224782,0.00006481902,0.00002785123,0.00006271173,0.0000267508,0.000006316089,0.9988486,0.0003271916,0.0005935499],"genre_scores_gemma":[0.0003007035,0.00009110095,0.0001508478,0.0001066742,0.00001605822,0.00005695686,0.9979725,0.000157667,0.001147544],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6269646,"threshold_uncertainty_score":0.894289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02229346035586447,"score_gpt":0.2735442760288417,"score_spread":0.2512508156729772,"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."}}