{"id":"W6902158996","doi":"10.6084/m9.figshare.25621419.v1","title":"Supplementary File 2 - Sample summary profile.pdf","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Skin Protection and Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Public health; Public access; Data collection; Large sample","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002148285,0.001104709,0.001274877,0.002807972,0.001122865,0.002535322,0.001440402,0.001389132,0.8885389],"category_scores_gemma":[0.05025634,0.0007196297,0.0007943163,0.005158837,0.0003708828,0.002317877,0.001574386,0.001232067,0.4773786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00110327,"about_ca_system_score_gemma":0.00224006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00920706,"about_ca_topic_score_gemma":0.008666771,"domain_scores_codex":[0.9987166,0.0002963219,0.0002555873,0.0002945272,0.000296897,0.0001400687],"domain_scores_gemma":[0.9752148,0.01531627,0.001183155,0.001798652,0.005695379,0.0007916219],"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":[0.0001913134,0.00003147427,0.0007767912,0.0006620863,0.00001201098,0.00002249794,0.00003009621,0.00005718963,0.00002368276,0.0002326088,0.988997,0.00896333],"study_design_scores_gemma":[0.001454198,0.0001968351,0.01268751,0.001768276,0.00007333813,0.0003754162,0.000400808,0.0004080584,0.0003455539,0.006150238,0.9760563,0.00008339674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001941253,0.00003783489,0.0003388941,0.0001968434,0.00008655473,0.0002678362,0.9949544,0.000384457,0.003539113],"genre_scores_gemma":[0.006478408,0.000375626,0.00350155,0.001533473,0.0002982757,0.00545236,0.9396277,0.001947003,0.04078568],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1114611,"threshold_uncertainty_score":0.1589857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03459689834187742,"score_gpt":0.2951460648646153,"score_spread":0.2605491665227379,"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."}}