{"id":"W4398465464","doi":"10.7910/dvn/fmk6sq/xninhs","title":"653832_1_S1_2X(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; Chemistry; Pathology; Computer science; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.0007593877,0.001273701,0.002154968,0.000492427,0.0002914004,0.0001944037,0.001267182,0.001376556,0.1733517],"category_scores_gemma":[0.002552987,0.001351896,0.0006935042,0.0007821485,0.001145364,0.0006742728,0.001322536,0.002305396,0.7988672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008837623,"about_ca_system_score_gemma":0.001108337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006560368,"about_ca_topic_score_gemma":0.00008533149,"domain_scores_codex":[0.9937797,0.0005360552,0.001399159,0.001780386,0.001059182,0.001445535],"domain_scores_gemma":[0.9943081,0.0004938803,0.0007489382,0.002735518,0.0003212198,0.001392382],"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":[0.0005293604,0.0003480687,0.0023597,0.0009724328,0.0007236571,0.003995032,0.00005399968,7.841966e-7,0.0005826666,0.0006664232,0.9779053,0.01186258],"study_design_scores_gemma":[0.00105509,0.0005282375,0.001815642,0.001412051,0.00128447,0.0003878956,0.0001944188,0.00004823542,0.001010383,0.0001529993,0.990931,0.001179524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002570535,0.0000198177,0.0002919859,0.00009331152,0.006683772,0.001696125,0.9860768,0.0004548936,0.004426271],"genre_scores_gemma":[0.0001429595,0.003759099,0.002374221,0.003086833,0.0036821,0.000148697,0.9849231,0.000160476,0.001722467],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6255155,"threshold_uncertainty_score":0.9999963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02287190517848197,"score_gpt":0.2706310225503958,"score_spread":0.2477591173719139,"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."}}