{"id":"W4398687130","doi":"10.7910/dvn/fmk6sq/zvwmnr","title":"641688_6.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; Mathematics; Computer science; Biomedical engineering; Pathology; Chemistry; 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":[0.001418914,0.002075377,0.001945856,0.0039815,0.0006592171,0.003260081,0.003264312,0.002292837,0.273364],"category_scores_gemma":[0.01070279,0.0009686019,0.001643302,0.007225478,0.0004683111,0.001474235,0.002603497,0.001435473,0.2421593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157306,"about_ca_system_score_gemma":0.002147808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0207007,"about_ca_topic_score_gemma":0.02969616,"domain_scores_codex":[0.9989111,0.0002809713,0.0001294325,0.0003213393,0.0001794699,0.000177666],"domain_scores_gemma":[0.9970612,0.001081235,0.0003922392,0.0005749593,0.0004998943,0.0003904888],"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":[0.00006627529,0.000008360657,0.0004562512,0.0006939893,0.00004168469,0.000008057775,0.00001018052,0.0001632545,0.00002825225,0.0003637506,0.9963838,0.00177612],"study_design_scores_gemma":[0.0006628694,0.00003042129,0.002647571,0.0006128818,0.00006841723,0.00004893207,0.00003569842,0.0003321933,0.0001615415,0.001771417,0.9936023,0.00002576995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004308885,0.00009700299,0.00003112958,0.00007490351,0.00001921446,0.000005184578,0.9986951,0.0002507254,0.000783849],"genre_scores_gemma":[0.0005512989,0.0001496111,0.0002057449,0.0001609358,0.00002539417,0.00008009304,0.9971421,0.0002032064,0.001481505],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.726636,"threshold_uncertainty_score":0.9144937,"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."}}