{"id":"W4398339504","doi":"10.7910/dvn/fmk6sq/6pdrcs","title":"641688_5(Colour_1).tif","year":2020,"lang":"fr","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; Degree (music); Staining; Lymph; Pathology; Chemistry; Computer science; Medicine; Physics; Acoustics; Biochemistry","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007073312,0.001182207,0.002022757,0.0004583709,0.0002709193,0.000176918,0.00119324,0.001303001,0.1733088],"category_scores_gemma":[0.002288852,0.001265152,0.0006539826,0.0007205291,0.00104554,0.000634538,0.001261931,0.002170902,0.8000917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008228587,"about_ca_system_score_gemma":0.001019924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005894018,"about_ca_topic_score_gemma":0.00008234107,"domain_scores_codex":[0.9941707,0.0005049472,0.001310523,0.001669772,0.0009916195,0.001352421],"domain_scores_gemma":[0.9946618,0.000470946,0.0006745071,0.002599231,0.0002942896,0.001299219],"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":[0.0004644887,0.0003187786,0.00175642,0.0009028546,0.0006634152,0.003788835,0.00004698507,6.680775e-7,0.0005173293,0.000778565,0.9732232,0.01753848],"study_design_scores_gemma":[0.0009658413,0.0004798495,0.001355377,0.001308444,0.001191787,0.0003478648,0.000213946,0.00003385047,0.0009231106,0.0001382499,0.9919477,0.001094056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001581432,0.00001819649,0.0004673069,0.00008570796,0.006473685,0.00157402,0.9858173,0.0004239348,0.004981669],"genre_scores_gemma":[0.0001328009,0.00361214,0.002301167,0.002830427,0.003481984,0.0001311623,0.9857849,0.0001463194,0.001579051],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.626783,"threshold_uncertainty_score":0.9999935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02291026071558062,"score_gpt":0.2708467524285053,"score_spread":0.2479364917129246,"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."}}