{"id":"W4398557508","doi":"10.7910/dvn/fmk6sq/50yuqz","title":"653832_2_S2_C.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; 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":[0.001447536,0.001994626,0.001938965,0.003648267,0.0007013475,0.003158576,0.003271687,0.002292822,0.2625477],"category_scores_gemma":[0.0116534,0.0009042258,0.001602629,0.0069928,0.0004723362,0.001437527,0.002452404,0.001397913,0.2257999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001571504,"about_ca_system_score_gemma":0.002299413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02177216,"about_ca_topic_score_gemma":0.03310871,"domain_scores_codex":[0.9989166,0.0002941474,0.0001122022,0.000332107,0.0001711392,0.0001737968],"domain_scores_gemma":[0.9969612,0.001196978,0.000357615,0.0005930575,0.0005316261,0.0003595331],"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":[0.00006290545,0.000008303959,0.0005537266,0.0007438107,0.000048838,0.000008578044,0.00001264751,0.0001922221,0.00003631156,0.000409267,0.9961138,0.001809541],"study_design_scores_gemma":[0.0005662515,0.00002780731,0.002756708,0.0006225821,0.00008876004,0.00005307514,0.00004053037,0.000362119,0.0002002166,0.00203859,0.9932137,0.00002974283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000471501,0.0001118284,0.00004171714,0.00008518252,0.00001875018,0.000005530737,0.9986258,0.0002753843,0.0007887184],"genre_scores_gemma":[0.0006663394,0.0001734926,0.0002802763,0.0001994941,0.00002625256,0.00009946628,0.9967597,0.0002589489,0.001536043],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7374523,"threshold_uncertainty_score":0.8783095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03118310662250076,"score_gpt":0.2891471167466128,"score_spread":0.257964010124112,"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."}}