{"id":"W4398477667","doi":"10.7910/dvn/fmk6sq/glbb6l","title":"652684_7_S1.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; Lymph; Degree (music); 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":["insufficient_payload"],"category_scores_codex":[0.001504311,0.002039625,0.002066616,0.003905419,0.0007311451,0.003392262,0.003515253,0.002488338,0.3448177],"category_scores_gemma":[0.01306904,0.0010033,0.001669784,0.007987341,0.00049679,0.00155837,0.00274278,0.001452949,0.2585051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00171391,"about_ca_system_score_gemma":0.002368927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02181421,"about_ca_topic_score_gemma":0.03527173,"domain_scores_codex":[0.9988334,0.0003040776,0.0001390421,0.0003326156,0.000189912,0.0002009144],"domain_scores_gemma":[0.9961672,0.001634579,0.0004628065,0.0006621083,0.0006214323,0.0004518145],"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":[0.00006413541,0.00000837203,0.0005047158,0.0008280753,0.00004445306,0.000008413089,0.00001304027,0.0001582644,0.00002953592,0.0004085399,0.996271,0.001661342],"study_design_scores_gemma":[0.0006808125,0.00003030993,0.002820722,0.0007713278,0.00008642214,0.00005384158,0.00004664593,0.0003032909,0.0001738659,0.002044981,0.9929568,0.00003094289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003492303,0.0000864449,0.00003069308,0.00007443407,0.00001607257,0.000005408544,0.9988996,0.0001952578,0.0006571246],"genre_scores_gemma":[0.0005764652,0.0001652922,0.0002415216,0.000206027,0.00002669178,0.000108358,0.9969374,0.000234319,0.00150393],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6551824,"threshold_uncertainty_score":0.9345381,"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."}}