{"id":"W4398393517","doi":"10.7910/dvn/fmk6sq/peglep","title":"32.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; Acoustics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008861002,0.0003160526,0.0007694848,0.00009392176,0.00008557137,0.00002623614,0.0002565294,0.0002192088,0.02324825],"category_scores_gemma":[0.0003188814,0.000273482,0.0001563907,0.0001637362,0.00009343663,0.00007334534,0.0003854648,0.0005622196,0.3983255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000910348,"about_ca_system_score_gemma":0.0002844869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002047958,"about_ca_topic_score_gemma":0.00007565519,"domain_scores_codex":[0.9984722,0.00002978942,0.0002870161,0.0005078911,0.0003875273,0.0003155494],"domain_scores_gemma":[0.9984857,0.00004524667,0.00009903272,0.001008048,0.00006075368,0.0003011639],"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":[0.0001566923,0.00006882136,0.000009808332,0.0005371507,0.0002156844,0.0008446344,0.00002483135,4.423802e-8,0.00001883808,0.000004283831,0.9974559,0.0006633098],"study_design_scores_gemma":[0.0009825596,0.0002459497,0.00009071873,0.0002977769,0.0004885988,0.00004678558,0.00004479287,0.00000249815,0.00002316745,0.000002613952,0.9975213,0.0002532787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000564565,0.000007556666,0.000002416064,0.0001394953,0.0007188827,0.0003068587,0.997107,0.00007866267,0.001633465],"genre_scores_gemma":[0.000003924135,0.002434625,0.0001914182,0.004941411,0.0009814264,0.00003041009,0.9906409,0.00002657382,0.0007492906],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3750773,"threshold_uncertainty_score":0.9999717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03136751662768513,"score_gpt":0.2894953516189448,"score_spread":0.2581278349912597,"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."}}