{"id":"W4398281721","doi":"10.7910/dvn/fmk6sq/qvpwei","title":"111.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; 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":[0.001658746,0.002462808,0.002021399,0.00436315,0.0008223154,0.005067739,0.003356837,0.002595769,0.5258824],"category_scores_gemma":[0.01228845,0.001003146,0.001816678,0.00839089,0.00061588,0.00225913,0.002962019,0.001893727,0.5247605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001709404,"about_ca_system_score_gemma":0.002402814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01808809,"about_ca_topic_score_gemma":0.03111832,"domain_scores_codex":[0.9987751,0.0002747177,0.0001414084,0.0003707782,0.0002002628,0.0002376747],"domain_scores_gemma":[0.9964322,0.00119327,0.0003128505,0.000862686,0.0007099374,0.0004889898],"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":[0.00003289043,0.000006047165,0.0001921465,0.0004258234,0.00001669271,0.000004747987,0.000007122027,0.00006554143,0.00001987522,0.0001958149,0.9979324,0.001100842],"study_design_scores_gemma":[0.00038561,0.00002249664,0.001466624,0.0004931895,0.00002664812,0.00002717863,0.00003861047,0.0001845533,0.0001066482,0.001343474,0.9958832,0.0000217365],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000245702,0.00005516535,0.00002408787,0.00008015428,0.00003870784,0.000006082665,0.9982786,0.0003381517,0.00115455],"genre_scores_gemma":[0.0003020376,0.00008525223,0.0001271183,0.000167174,0.00002303381,0.00006009522,0.9968898,0.0002932604,0.002052143],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4741176,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03124543519822151,"score_gpt":0.2892492488396278,"score_spread":0.2580038136414063,"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."}}