{"id":"W4398345524","doi":"10.7910/dvn/fmk6sq/f343rs","title":"644764_5.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; Computer science; Pathology; Biomedical engineering; 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":[0.001252525,0.002056217,0.001913733,0.003915947,0.0006632762,0.003102333,0.003135093,0.00229395,0.2600393],"category_scores_gemma":[0.009642527,0.0009434517,0.001626085,0.006973088,0.0004488741,0.0014096,0.002466046,0.001399144,0.2319274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506489,"about_ca_system_score_gemma":0.002099448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02032415,"about_ca_topic_score_gemma":0.02894815,"domain_scores_codex":[0.9989948,0.0002509834,0.0001156111,0.0003106162,0.0001591776,0.0001687582],"domain_scores_gemma":[0.9973714,0.001002622,0.0003458448,0.0004919826,0.0004487657,0.0003393688],"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":[0.00006692308,0.000009062792,0.000494642,0.0007221375,0.00004233052,0.000008662584,0.00001093471,0.0001697081,0.00003154588,0.000355264,0.9962444,0.001844352],"study_design_scores_gemma":[0.0006645597,0.00003174328,0.002933466,0.0006380037,0.0000757443,0.00005395919,0.00003874345,0.0003580602,0.0001909097,0.001884441,0.9931036,0.00002673207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005033263,0.0001082116,0.00003296223,0.00007084094,0.00001784715,0.000005108536,0.9987042,0.0002614523,0.0007489888],"genre_scores_gemma":[0.0005839654,0.0001550744,0.0002112027,0.0001545124,0.00002343773,0.00007896764,0.9971506,0.000197811,0.001444385],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7399607,"threshold_uncertainty_score":0.8699181,"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."}}