{"id":"W4398264890","doi":"10.7910/dvn/fmk6sq/vpe8vb","title":"30.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":[0.001915299,0.002737243,0.002060741,0.004847353,0.0007994118,0.005288185,0.003215116,0.002711199,0.4219026],"category_scores_gemma":[0.01261644,0.001020797,0.002522104,0.007778916,0.0006291662,0.002343278,0.003063107,0.002100959,0.4163117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001878357,"about_ca_system_score_gemma":0.002717061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02411699,"about_ca_topic_score_gemma":0.03848242,"domain_scores_codex":[0.9988097,0.0002526457,0.0001484516,0.0003271306,0.0002038411,0.0002581646],"domain_scores_gemma":[0.9966126,0.001153339,0.0002900486,0.000766004,0.0007084014,0.0004695475],"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":[0.00004320764,0.000007213908,0.0002260945,0.0005494745,0.00002516379,0.000006411588,0.000009508192,0.00007568822,0.00002248048,0.0002037147,0.9977992,0.001031708],"study_design_scores_gemma":[0.0007454464,0.00002925771,0.002366638,0.0007349746,0.00004821472,0.0000357913,0.00005448489,0.0002841386,0.0001397905,0.001680874,0.9938477,0.00003266446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000290554,0.00005846385,0.00002078352,0.00008348971,0.00004449257,0.000005618707,0.9985706,0.0003714141,0.0008160216],"genre_scores_gemma":[0.0003981703,0.0001035129,0.0001491224,0.0001791182,0.0000305237,0.00006476866,0.9971316,0.0003321604,0.001610901],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5780975,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03142369066156148,"score_gpt":0.2896015358644424,"score_spread":0.2581778452028809,"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."}}