{"id":"W4398472694","doi":"10.7910/dvn/fmk6sq/hfwslo","title":"69.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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00222118,0.004172653,0.002445976,0.008458815,0.001035861,0.006071048,0.003328838,0.003177201,0.4866764],"category_scores_gemma":[0.01791428,0.001372393,0.0032321,0.011574,0.0009722827,0.002332792,0.003718992,0.002376932,0.4481019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001962407,"about_ca_system_score_gemma":0.003922419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02756065,"about_ca_topic_score_gemma":0.0411407,"domain_scores_codex":[0.998285,0.0003640409,0.0002012182,0.0004668762,0.0003177363,0.0003651334],"domain_scores_gemma":[0.9943452,0.001982269,0.0005183648,0.001343791,0.0009504394,0.0008600355],"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":[0.0000485192,0.00000927612,0.0003052933,0.0005649718,0.00003665304,0.000007525727,0.00001289349,0.0001091614,0.00002652135,0.0001783988,0.9975529,0.001147957],"study_design_scores_gemma":[0.0009118485,0.00004112922,0.002466343,0.0008766674,0.00008513758,0.0000485891,0.00008273534,0.00036851,0.0001579132,0.001917897,0.9929957,0.00004765698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003185181,0.00006180579,0.00002214842,0.00007560531,0.0000439185,0.000006164288,0.9987864,0.0003601291,0.0006119404],"genre_scores_gemma":[0.0003627047,0.0001171438,0.000158006,0.0001801834,0.00002719643,0.00007596548,0.9970365,0.000408518,0.001633866],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5133237,"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."}}