{"id":"W4398348704","doi":"10.7910/dvn/fmk6sq/eavsrp","title":"71.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; Computer science; Chemistry; Pathology; Medicine; Physics; 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":[0.002053811,0.004164866,0.002425762,0.008626005,0.001045464,0.005909716,0.003418068,0.003076351,0.5174263],"category_scores_gemma":[0.01605198,0.00128607,0.003014743,0.01113766,0.000912665,0.002223733,0.003454213,0.002377495,0.4949873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001721085,"about_ca_system_score_gemma":0.003366326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0251887,"about_ca_topic_score_gemma":0.03875245,"domain_scores_codex":[0.9985946,0.0002879133,0.0001598063,0.0004008256,0.0002558162,0.0003011131],"domain_scores_gemma":[0.9949982,0.00182136,0.0004302583,0.001145808,0.0008288832,0.0007755236],"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":[0.00004461755,0.00001006149,0.0002845368,0.0005095861,0.00003049153,0.000006888186,0.00001230904,0.0001071143,0.00002640751,0.00017049,0.9976408,0.001156677],"study_design_scores_gemma":[0.0009247674,0.00004170215,0.002305074,0.0008206971,0.00007495822,0.00004358727,0.00008306841,0.0003889816,0.0001468592,0.001971314,0.9931508,0.00004800584],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003190217,0.00006094297,0.0000217154,0.00007713588,0.00004085821,0.000006552305,0.9986973,0.0003979076,0.0006657451],"genre_scores_gemma":[0.0003330229,0.0001241899,0.0001607515,0.0001827346,0.00002632353,0.00007856295,0.9969266,0.0004237252,0.001744015],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4825737,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03147191538410277,"score_gpt":0.2896872495929347,"score_spread":0.2582153342088319,"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."}}