{"id":"W4398391774","doi":"10.7910/dvn/fmk6sq/6jmnzd","title":"646161_3.roi","year":2020,"lang":"fr","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; Computer science; Biomedical engineering; Medicine; Chemistry; 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":[0.001368848,0.002387694,0.002130008,0.0045276,0.0007418795,0.003482489,0.003448089,0.002650097,0.2933103],"category_scores_gemma":[0.01100447,0.0009908793,0.001802332,0.007117785,0.000478538,0.001536369,0.002512315,0.001471822,0.2688452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001749623,"about_ca_system_score_gemma":0.002182931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02538887,"about_ca_topic_score_gemma":0.03234012,"domain_scores_codex":[0.9989126,0.0002500297,0.0001128154,0.0003494791,0.0001827899,0.000192356],"domain_scores_gemma":[0.9970123,0.001136145,0.0003772029,0.0005898761,0.0004993994,0.0003850713],"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":[0.0000555264,0.00000757364,0.0003777635,0.0005273176,0.00003351966,0.000007345085,0.000008887749,0.0001376133,0.00002722204,0.0003058843,0.9968471,0.001664304],"study_design_scores_gemma":[0.0006473746,0.00003185748,0.002751009,0.0005580244,0.00006880447,0.00005331706,0.00003371965,0.0003927097,0.0001858359,0.0018716,0.993378,0.00002777098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004102137,0.00009382704,0.00003031631,0.00007736735,0.00001715332,0.000004725779,0.9986886,0.0003205338,0.0007264245],"genre_scores_gemma":[0.0005205394,0.0001254285,0.0002011278,0.000138049,0.0000256041,0.00007119539,0.9973027,0.0002377398,0.001377573],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7066897,"threshold_uncertainty_score":0.9812207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0318047430707234,"score_gpt":0.2862537663932616,"score_spread":0.2544490233225382,"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."}}