{"id":"W4398688659","doi":"10.7910/dvn/fmk6sq/w23ano","title":"647714_1(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; Mathematics; Physics; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009852805,0.003763445,0.002155375,0.004660562,0.00105278,0.003418616,0.003832012,0.003482281,0.354435],"category_scores_gemma":[0.006772088,0.0009806649,0.002041098,0.005936529,0.0007096514,0.002223964,0.002845094,0.002030397,0.3910761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001900249,"about_ca_system_score_gemma":0.002173033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02773157,"about_ca_topic_score_gemma":0.04089276,"domain_scores_codex":[0.9990118,0.0001341521,0.00009751476,0.0003186801,0.0002025977,0.0002353179],"domain_scores_gemma":[0.9979377,0.0006386712,0.0001867204,0.0004149155,0.0005437282,0.0002780651],"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":[0.00003849086,0.00001199402,0.0001789198,0.0004606236,0.00001376365,0.000006968514,0.00001002523,0.0001162396,0.00006160062,0.0001542758,0.9975967,0.0013504],"study_design_scores_gemma":[0.0003647925,0.00003434546,0.001996136,0.0004484244,0.00003593635,0.00005483236,0.00006486075,0.0003939975,0.0003955573,0.001412977,0.9947569,0.00004122847],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004837547,0.00006618313,0.00003331895,0.00006648875,0.00003229242,0.00000753398,0.9986326,0.000460364,0.0006528202],"genre_scores_gemma":[0.0002820541,0.0000771071,0.0001611173,0.00007866907,0.00001791355,0.00005336969,0.9979867,0.0001612827,0.001181745],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.645565,"threshold_uncertainty_score":0.9208202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02291026071558062,"score_gpt":0.2708467524285053,"score_spread":0.2479364917129246,"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."}}