{"id":"W6977124217","doi":"10.6084/m9.figshare.26993977.v1","title":"Additional file 1 of Melanocytes in regenerative medicine applications and disease modeling","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"melanin and skin pigmentation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Regenerative medicine; Disease; Precision medicine; Biomedicine","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":[],"category_scores_codex":[0.001102097,0.001219341,0.000957184,0.002434752,0.0005958623,0.001766979,0.001721188,0.001463771,0.859469],"category_scores_gemma":[0.01178258,0.0006465616,0.001006776,0.002054161,0.0002622028,0.001103865,0.001029918,0.0009457313,0.3134105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007550102,"about_ca_system_score_gemma":0.00111306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003344811,"about_ca_topic_score_gemma":0.006921014,"domain_scores_codex":[0.9995727,0.00008769209,0.00005024029,0.0001086228,0.0001146761,0.00006606947],"domain_scores_gemma":[0.9909213,0.007141821,0.0002755603,0.0005366308,0.0008673143,0.0002573314],"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":[0.0001907411,0.0001087161,0.001132199,0.002160334,0.00005666884,0.00008949239,0.00004103689,0.002007202,0.0005392221,0.001627218,0.9799804,0.01206668],"study_design_scores_gemma":[0.001320343,0.0001155292,0.005201949,0.001267479,0.0001612797,0.0003377047,0.0001452207,0.007242662,0.002532461,0.0160282,0.9655263,0.0001209181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003269249,0.00007194872,0.00179174,0.0001232889,0.00007353668,0.00007307053,0.9918743,0.001696253,0.003968951],"genre_scores_gemma":[0.01020225,0.0004053951,0.01566034,0.0007619368,0.000116589,0.001342405,0.9489004,0.005370001,0.01724058],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.859469,"threshold_uncertainty_score":0.2004504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02278015300322893,"score_gpt":0.273184080405969,"score_spread":0.25040392740274,"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."}}