{"id":"W4398540260","doi":"10.7910/dvn/fmk6sq/mkys2p","title":"99.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; Staining; Degree (music); Lymph; Pathology; Chemistry; Medicine; Computer science; 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":[0.001631175,0.002428385,0.001903754,0.004471537,0.000804627,0.005247815,0.003347847,0.002501691,0.4408891],"category_scores_gemma":[0.01133367,0.0009373579,0.001983559,0.007497246,0.0005789585,0.00234097,0.002852975,0.001946689,0.4919061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550958,"about_ca_system_score_gemma":0.002062347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01752394,"about_ca_topic_score_gemma":0.02778901,"domain_scores_codex":[0.9988998,0.0002431361,0.0001319222,0.0003155433,0.0001878523,0.0002215997],"domain_scores_gemma":[0.9971707,0.0008929135,0.0002324349,0.0007694683,0.0005352116,0.0003993215],"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":[0.00003847908,0.000006633879,0.0002018773,0.0003917331,0.00001940012,0.00000573937,0.000008021454,0.00007195513,0.00002346457,0.0002171224,0.9978642,0.001151399],"study_design_scores_gemma":[0.0004030438,0.00002450325,0.001568374,0.0004385718,0.00002770765,0.00003464216,0.00003883847,0.0002427708,0.0001347251,0.00152127,0.9955422,0.00002337659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003366248,0.00006333168,0.00002947858,0.00009164305,0.00004248277,0.000006452018,0.9979708,0.0005305279,0.001231632],"genre_scores_gemma":[0.0003313763,0.00009313317,0.0001393586,0.0001555727,0.00002320405,0.00005094801,0.9971361,0.000358227,0.001712011],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5591109,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03196429902183549,"score_gpt":0.2902644604381204,"score_spread":0.2583001614162849,"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."}}