{"id":"W4398279783","doi":"10.7910/dvn/fmk6sq/lbzdnx","title":"249770_5S2(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; Art; Pathology; Physics; Chemistry; Medicine; 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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004736033,0.0007829595,0.001042886,0.0002911597,0.0003347478,0.0001797364,0.0007916774,0.0006976996,0.2104643],"category_scores_gemma":[0.001829215,0.0008057831,0.0003753312,0.0006064277,0.0003248595,0.0003490043,0.0008562189,0.001994706,0.8992453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004265646,"about_ca_system_score_gemma":0.000521983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003937368,"about_ca_topic_score_gemma":0.00004689908,"domain_scores_codex":[0.9958872,0.0002793461,0.0008179832,0.001231315,0.0007949472,0.0009891799],"domain_scores_gemma":[0.9963599,0.0002309506,0.0003969583,0.001850903,0.0001418627,0.001019399],"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":[0.0003062845,0.000277352,0.00006122661,0.001126983,0.0004183231,0.00342461,0.0001488663,0.000007394794,0.0003747256,0.0001523147,0.9886786,0.005023286],"study_design_scores_gemma":[0.00243054,0.0003322535,0.0002003956,0.001495812,0.001096971,0.0004818811,0.0006413466,0.0003764008,0.0003553919,0.0000220626,0.9918233,0.0007436789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002660298,0.00002119346,0.0003856968,0.0003776146,0.008327293,0.001133507,0.9866348,0.0002221238,0.002871175],"genre_scores_gemma":[0.000163828,0.001517957,0.0008706055,0.008155431,0.005402691,0.00008355953,0.9776824,0.0001005122,0.006023092],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6887811,"threshold_uncertainty_score":0.9994393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02571127161331937,"score_gpt":0.2654573484545668,"score_spread":0.2397460768412474,"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."}}