{"id":"W4398543417","doi":"10.7910/dvn/fmk6sq/zzbeig","title":"3.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; Molecular biology; Chemistry; Biology; 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":[0.002325548,0.004217883,0.002666778,0.008262274,0.001020339,0.005818561,0.004005261,0.00330717,0.4254786],"category_scores_gemma":[0.01719668,0.001339376,0.004136484,0.009301216,0.0008759922,0.002443732,0.003593172,0.002574653,0.3942479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001684171,"about_ca_system_score_gemma":0.003186416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02304047,"about_ca_topic_score_gemma":0.03633445,"domain_scores_codex":[0.9984034,0.000360764,0.0001624985,0.0004767189,0.0002553137,0.000341457],"domain_scores_gemma":[0.9949158,0.001933689,0.0004322343,0.001236901,0.0007531441,0.0007283023],"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":[0.0000601708,0.00001419761,0.0003778033,0.0006606337,0.0000557073,0.000009121449,0.00001612337,0.0001919461,0.00002933517,0.0002584218,0.996979,0.001347445],"study_design_scores_gemma":[0.001031164,0.00005369251,0.002033665,0.0008376496,0.0001074209,0.0000525661,0.0000924848,0.0007495246,0.000196865,0.003494109,0.991297,0.00005387763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004172892,0.00006604291,0.00003705216,0.0001098537,0.00005442379,0.000009305274,0.9983537,0.0007194689,0.0006084869],"genre_scores_gemma":[0.000412657,0.000129038,0.0002841683,0.0002344633,0.00003544234,0.0001062933,0.9967563,0.0005948327,0.001446812],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5745214,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03138268737236709,"score_gpt":0.28951221557774,"score_spread":0.2581295282053729,"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."}}