{"id":"W4398351492","doi":"10.7910/dvn/fmk6sq/fyjku9","title":"635020_2.roi","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; Staining; Degree (music); Lymph; Pathology; Biomedical engineering; Computer science; Medicine; Chemistry; Physics; 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":[],"category_scores_codex":[0.001268041,0.002212763,0.00195364,0.003907701,0.0006567129,0.003221411,0.003187557,0.002305702,0.248011],"category_scores_gemma":[0.009189864,0.0009400267,0.001684827,0.006838361,0.0004545078,0.00145789,0.002480122,0.001408693,0.2328551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523233,"about_ca_system_score_gemma":0.002032685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01973886,"about_ca_topic_score_gemma":0.02852944,"domain_scores_codex":[0.9990127,0.0002394651,0.0001074732,0.0003179067,0.0001609746,0.0001615134],"domain_scores_gemma":[0.9975498,0.0009123744,0.0003133344,0.0004786864,0.0004179653,0.0003278216],"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":[0.00006373344,0.00000878986,0.0004559148,0.0006752808,0.00004259091,0.000008452392,0.00001022252,0.0001716436,0.00003183256,0.0003412739,0.9964337,0.001756578],"study_design_scores_gemma":[0.0006279994,0.000031245,0.002692536,0.0005721906,0.0000732156,0.00005320922,0.00003589219,0.0003955166,0.0001900686,0.001863817,0.9934378,0.00002650525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004852934,0.0001021839,0.00003427107,0.00007160847,0.0000181157,0.000005028332,0.9986639,0.0002993531,0.0007569102],"genre_scores_gemma":[0.000522671,0.0001371735,0.0001973587,0.0001458665,0.00002109247,0.00007034223,0.9974241,0.0002093075,0.001272058],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.751989,"threshold_uncertainty_score":0.8296794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03125427680813831,"score_gpt":0.28912634384876,"score_spread":0.2578720670406217,"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."}}