{"id":"W4398273155","doi":"10.7910/dvn/fmk6sq/to8vmm","title":"35.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; Computer science; 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":[0.00214283,0.003465679,0.002350217,0.007036167,0.0009785892,0.005669,0.003579811,0.00312345,0.459449],"category_scores_gemma":[0.014981,0.001190896,0.002899032,0.009521204,0.0007653729,0.002455464,0.003361935,0.002504352,0.4437855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001963701,"about_ca_system_score_gemma":0.003325463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02785542,"about_ca_topic_score_gemma":0.04368977,"domain_scores_codex":[0.9985819,0.000303302,0.0001616348,0.0003942842,0.0002486049,0.0003103741],"domain_scores_gemma":[0.9957865,0.001516189,0.0003636505,0.0009313825,0.0008253151,0.0005769572],"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":[0.00004366133,0.00000914905,0.0002558751,0.0005966008,0.00003143171,0.00000685635,0.00001204265,0.0001000731,0.00002787161,0.0002144467,0.9976859,0.001016174],"study_design_scores_gemma":[0.0009074427,0.00003256551,0.002348314,0.0008596933,0.00006511148,0.00003996087,0.0000685135,0.0003340249,0.0001570626,0.001881289,0.9932626,0.00004343469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002355231,0.00004953234,0.00002133834,0.00007191698,0.00003723518,0.000005192338,0.9988571,0.000352768,0.0005813519],"genre_scores_gemma":[0.0003034031,0.0001060271,0.0001677785,0.0001714671,0.0000244672,0.000069387,0.997424,0.0003436714,0.001389833],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5405511,"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."}}