{"id":"W4398620083","doi":"10.7910/dvn/fmk6sq/ylgig5","title":"49.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; Degree (music); Staining; 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":[0.002509989,0.004128936,0.002560677,0.008799323,0.001051718,0.006134247,0.00354303,0.003336233,0.4604764],"category_scores_gemma":[0.01920726,0.001407796,0.003454664,0.0118101,0.001016517,0.002350588,0.003824053,0.002423315,0.4295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00205526,"about_ca_system_score_gemma":0.004080633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02811508,"about_ca_topic_score_gemma":0.04323102,"domain_scores_codex":[0.9980823,0.0004208066,0.000224017,0.0005002571,0.0003650296,0.0004075623],"domain_scores_gemma":[0.9938201,0.002180001,0.0005616467,0.001514885,0.001032681,0.000890594],"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":[0.00004930019,0.000009377868,0.0003194215,0.0005842141,0.00003843137,0.00000763222,0.00001327033,0.0001163584,0.00002695234,0.0001873253,0.9975035,0.001144266],"study_design_scores_gemma":[0.000935492,0.00004187867,0.002648347,0.0009085857,0.00009130704,0.00004939485,0.000081796,0.0003919907,0.000167362,0.001920072,0.9927142,0.00004957115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003252743,0.00006516363,0.00002308572,0.00007679279,0.00004724727,0.000006414329,0.998778,0.0003750963,0.0005955365],"genre_scores_gemma":[0.0003612594,0.0001194902,0.0001695965,0.0001831872,0.00002780401,0.00008217552,0.9970626,0.0004173961,0.001576413],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5395236,"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."}}