{"id":"W4398284781","doi":"10.7910/dvn/fmk6sq/kj6wcd","title":"655548_2_S1P.roi","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; Medicine; Computer science; 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":[0.001272833,0.001997671,0.002036474,0.003683311,0.0006672153,0.003148497,0.003342386,0.00241559,0.2839378],"category_scores_gemma":[0.01081623,0.0009263384,0.001610121,0.007341225,0.0004425596,0.001455638,0.002601464,0.001370271,0.215607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001680019,"about_ca_system_score_gemma":0.002242754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02311533,"about_ca_topic_score_gemma":0.03532775,"domain_scores_codex":[0.9989813,0.0002561013,0.0001166337,0.0003047018,0.0001639728,0.0001773483],"domain_scores_gemma":[0.996924,0.001231446,0.0004015557,0.0005358441,0.0005507923,0.000356325],"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":[0.00006789625,0.000008167438,0.0006051844,0.0008625341,0.00005080129,0.000009574142,0.00001336657,0.000173984,0.00003558074,0.0004317008,0.995894,0.001847115],"study_design_scores_gemma":[0.0006260398,0.00002772848,0.00345678,0.0007830656,0.00009931059,0.0000572888,0.00004518685,0.0003328333,0.0002045882,0.002057881,0.9922777,0.0000315425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004037956,0.0001003075,0.00003041334,0.00007653295,0.00001594146,0.000004764811,0.9988637,0.0002004401,0.0006675937],"genre_scores_gemma":[0.0006704358,0.0001796634,0.0002406844,0.0001974182,0.00002574084,0.0000993546,0.9969032,0.0002165442,0.001466969],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7160622,"threshold_uncertainty_score":0.9498666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03126847295093408,"score_gpt":0.2894427915943308,"score_spread":0.2581743186433967,"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."}}