{"id":"W4398269809","doi":"10.7910/dvn/fmk6sq/4ezp95","title":"653832_1_S1_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; Staining; Degree (music); Lymph; Pathology; Computer science; Biomedical engineering; Medicine; Chemistry; Physics","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":[0.001345237,0.002042309,0.00190615,0.003648804,0.0006864242,0.002925975,0.003170485,0.002301953,0.2592244],"category_scores_gemma":[0.01048589,0.0008951391,0.001442238,0.007017605,0.0004617617,0.001503395,0.00242162,0.001360962,0.2326672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001639426,"about_ca_system_score_gemma":0.002168757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02157722,"about_ca_topic_score_gemma":0.03384795,"domain_scores_codex":[0.9989684,0.0002673031,0.0001097248,0.0003151006,0.0001678142,0.0001717689],"domain_scores_gemma":[0.9971138,0.001088865,0.0003557411,0.0005558706,0.0005223405,0.0003633244],"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":[0.00005429871,0.000007868592,0.0004620328,0.0006298936,0.00003487618,0.0000070995,0.00001121833,0.0001504496,0.0000312124,0.0003441742,0.9966247,0.001642298],"study_design_scores_gemma":[0.0005394406,0.0000275927,0.002999803,0.00061393,0.00007227877,0.00004679325,0.00004258843,0.0003296047,0.0001995317,0.001824715,0.9932753,0.00002835984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004777951,0.0001088214,0.00003388588,0.0000827824,0.0000185682,0.00000497397,0.9986981,0.000250168,0.000754851],"genre_scores_gemma":[0.0005896291,0.000163269,0.0002222162,0.0001714956,0.00002425075,0.00008471902,0.9970583,0.0001970954,0.001488983],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7407756,"threshold_uncertainty_score":0.8671921,"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."}}