{"id":"W4398270149","doi":"10.7910/dvn/fmk6sq/y9hryt","title":"70.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":[0.001784717,0.003301078,0.002319729,0.005702829,0.0009424284,0.005561342,0.003524093,0.002949233,0.5389589],"category_scores_gemma":[0.01297097,0.001112398,0.002452085,0.008826034,0.0007347454,0.00242598,0.003152441,0.002336019,0.5556418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001794548,"about_ca_system_score_gemma":0.002791517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02255294,"about_ca_topic_score_gemma":0.03345622,"domain_scores_codex":[0.9987713,0.0002541856,0.0001397006,0.0003759514,0.0001973221,0.0002616412],"domain_scores_gemma":[0.9964446,0.001247587,0.0002861961,0.0008200614,0.0006954572,0.0005060657],"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":[0.00003537659,0.000007456757,0.0001659552,0.0004530679,0.00001898425,0.000004632268,0.000008387648,0.00006549877,0.0000240982,0.0001731092,0.9981068,0.000936671],"study_design_scores_gemma":[0.0006976952,0.00002691542,0.001769208,0.000673226,0.00004157486,0.00003095426,0.00005568426,0.0002560543,0.0001416081,0.001493983,0.9947796,0.00003350575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002272601,0.00004850865,0.00002114174,0.00007245455,0.00003839169,0.000005525364,0.9985247,0.0004114278,0.0008551388],"genre_scores_gemma":[0.0002940613,0.00009741866,0.0001409792,0.0001591468,0.00002363308,0.00006504289,0.997171,0.000354786,0.001693934],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4610411,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03192607110510947,"score_gpt":0.2903117291248016,"score_spread":0.2583856580196922,"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."}}