{"id":"W4398333027","doi":"10.7910/dvn/fmk6sq/4knbwi","title":"1.tif","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Head and Neck Cancer Studies","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; Computer science; Chemistry; 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":[],"category_scores_codex":[0.001999459,0.002344964,0.002039589,0.004990946,0.0007495364,0.004627378,0.003370665,0.002556929,0.4089671],"category_scores_gemma":[0.01742586,0.0009359755,0.00226215,0.008199643,0.0006070261,0.002436554,0.002786716,0.002087897,0.3654474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486934,"about_ca_system_score_gemma":0.00250885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01457081,"about_ca_topic_score_gemma":0.02609838,"domain_scores_codex":[0.9985084,0.0003685407,0.000170532,0.000464798,0.0002239913,0.0002636005],"domain_scores_gemma":[0.9957469,0.001700799,0.0003813098,0.0009159886,0.0007412492,0.0005137128],"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":[0.00004355784,0.000007840115,0.0002818603,0.0006529786,0.00003159823,0.000006422943,0.000009842658,0.000107407,0.00002235446,0.0002378879,0.9973457,0.001252437],"study_design_scores_gemma":[0.0005961024,0.00003205106,0.001858126,0.0007030793,0.0000527728,0.00003891905,0.00005083006,0.0002920664,0.00011607,0.002123422,0.994108,0.00002867862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003141326,0.00006973472,0.00003333977,0.0000895994,0.00004066058,0.000007991575,0.9986258,0.0003750038,0.0007264743],"genre_scores_gemma":[0.0003969693,0.0001112818,0.0002242419,0.0001906378,0.00002984903,0.00009578864,0.9972154,0.0003369745,0.001398921],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5910329,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03133941910178767,"score_gpt":0.2894666166818428,"score_spread":0.2581271975800551,"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."}}