{"id":"W4398541718","doi":"10.7910/dvn/fmk6sq/wok4na","title":"653832_1_S2_1X.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; Degree (music); Staining; Lymph; Computer science; Biomedical engineering; Chemistry; Pathology; Medicine; Physics; 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":[0.00134095,0.002133255,0.001917106,0.00366794,0.0007089005,0.00293598,0.003248726,0.002388491,0.2465556],"category_scores_gemma":[0.01011683,0.0009010887,0.001509477,0.006819112,0.0004743517,0.001483014,0.002411971,0.001398366,0.2259293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001639338,"about_ca_system_score_gemma":0.002191714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02201456,"about_ca_topic_score_gemma":0.03435181,"domain_scores_codex":[0.9989819,0.0002633535,0.0001052434,0.000313108,0.0001661015,0.0001702439],"domain_scores_gemma":[0.9972656,0.001020076,0.0003269683,0.0005342115,0.0005043774,0.0003487637],"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":[0.00005442613,0.000008269583,0.0004584174,0.0006254721,0.00003553359,0.000007519237,0.0000113368,0.0001583383,0.00003304179,0.0003327226,0.9966966,0.00157845],"study_design_scores_gemma":[0.0005521146,0.00002891271,0.003022072,0.0005922707,0.00007478589,0.00004967596,0.00004468336,0.0003628414,0.0002154977,0.00182872,0.9931987,0.00002970428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005105274,0.0001093619,0.00003529474,0.00008429265,0.00001918438,0.000005236563,0.9986869,0.0002708973,0.000737907],"genre_scores_gemma":[0.0005877368,0.0001566495,0.0002216574,0.0001655028,0.00002374154,0.00008500826,0.9971456,0.0001961668,0.001417893],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7534444,"threshold_uncertainty_score":0.8248105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03118310662250076,"score_gpt":0.2891471167466128,"score_spread":0.257964010124112,"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."}}