{"id":"W4398339504","doi":"10.7910/dvn/fmk6sq/6pdrcs","title":"641688_5(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; Pathology; Chemistry; Computer science; Medicine; Physics; Acoustics; Biochemistry","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":[0.000970618,0.003683582,0.002066469,0.004504801,0.001043234,0.003335003,0.003749567,0.003412805,0.3666417],"category_scores_gemma":[0.006481996,0.000959842,0.0020796,0.005598702,0.0007006089,0.002177072,0.002812801,0.00201878,0.383063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001921134,"about_ca_system_score_gemma":0.002071515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02864377,"about_ca_topic_score_gemma":0.04101933,"domain_scores_codex":[0.9990687,0.0001258751,0.00009168815,0.0002974631,0.0001903043,0.0002260066],"domain_scores_gemma":[0.9980294,0.0006041268,0.0001790611,0.0004028368,0.0005157638,0.0002687657],"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":[0.00003962643,0.00001192665,0.0001828741,0.0004672603,0.00001416667,0.000007191255,0.000009677953,0.0001173416,0.00006002021,0.0001582039,0.9975711,0.00136072],"study_design_scores_gemma":[0.0003867072,0.00003549653,0.002140333,0.0004555312,0.00003632289,0.00005790521,0.00006591424,0.000395315,0.0003887275,0.001411975,0.9945847,0.00004097644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004837526,0.00006465545,0.00003102688,0.00006762457,0.00003295315,0.000007404768,0.998632,0.000444777,0.0006710885],"genre_scores_gemma":[0.0003083665,0.00007784327,0.0001595448,0.00008350209,0.00001898225,0.00005193784,0.9979351,0.0001528903,0.00121191],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6333583,"threshold_uncertainty_score":0.9034088,"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."}}