{"id":"W4398547769","doi":"10.7910/dvn/fmk6sq/6vnirn","title":"635020_5(Colour_1).tif","year":2020,"lang":"fr","type":"dataset","venue":"Harvard Dataverse","topic":"Skin Protection and Aging","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; Computer science; Chemistry; Medicine; Physics; 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":[0.001104594,0.003414487,0.002098247,0.004428534,0.001037494,0.003557083,0.003567035,0.00362242,0.4250557],"category_scores_gemma":[0.008640534,0.001075936,0.002197542,0.006317049,0.0006747292,0.002174538,0.002732936,0.001920707,0.358193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002180989,"about_ca_system_score_gemma":0.002220639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04049713,"about_ca_topic_score_gemma":0.05075733,"domain_scores_codex":[0.9990711,0.0001462497,0.00009413981,0.0003047263,0.0001702596,0.000213528],"domain_scores_gemma":[0.997303,0.0009661181,0.0002605229,0.0004938192,0.0006475206,0.000329047],"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":[0.00004174928,0.000009892973,0.000264719,0.0005212187,0.00001945742,0.000008263594,0.00001179621,0.0001098297,0.0000428983,0.0002061227,0.9977011,0.001062947],"study_design_scores_gemma":[0.0004607166,0.00003044036,0.002969099,0.0005884359,0.00004885653,0.00005901113,0.0000615138,0.0003015703,0.0002760799,0.001641258,0.993519,0.00004402172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002949032,0.00005166229,0.00002397624,0.00006668385,0.00002170794,0.000005121507,0.9989825,0.0002818341,0.0005370963],"genre_scores_gemma":[0.0003462721,0.00008900066,0.0001364484,0.0001300875,0.00001911084,0.00005847988,0.9978265,0.0001846292,0.001209383],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5749443,"threshold_uncertainty_score":0.8200883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02533278876535922,"score_gpt":0.2655715071463198,"score_spread":0.2402387183809606,"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."}}