{"id":"W4398474036","doi":"10.7910/dvn/fmk6sq/cjvr4j","title":"8.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; Computer science; Pathology; 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":[0.001935931,0.002552783,0.002078724,0.004936971,0.0007678487,0.004768071,0.003454443,0.002788491,0.393087],"category_scores_gemma":[0.01456393,0.0009446397,0.00271817,0.007480142,0.0005671394,0.002441186,0.002856795,0.002139689,0.3903951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001440038,"about_ca_system_score_gemma":0.002353096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01495204,"about_ca_topic_score_gemma":0.02697073,"domain_scores_codex":[0.9987301,0.000314436,0.0001402502,0.0003720553,0.0001882565,0.000254853],"domain_scores_gemma":[0.9964789,0.00133646,0.0002942184,0.0008571967,0.0005877772,0.0004454686],"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":[0.00004824904,0.000008206878,0.0002760072,0.0005578562,0.00003435965,0.000007375523,0.00001067725,0.0001013985,0.00002284731,0.0002507137,0.997436,0.001246296],"study_design_scores_gemma":[0.0005646966,0.00003090656,0.001707077,0.0006431083,0.00005240479,0.00003846996,0.00005367798,0.0003486468,0.0001482089,0.002334796,0.9940492,0.00002884478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003495,0.0000651038,0.00003539214,0.0001032796,0.00004464195,0.000007557018,0.9982314,0.0006098743,0.0008678687],"genre_scores_gemma":[0.000421712,0.000116872,0.0002437933,0.0001968714,0.00002927709,0.00008992713,0.9969247,0.0004247932,0.001552126],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.606913,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03147191538410277,"score_gpt":0.2896872495929347,"score_spread":0.2582153342088319,"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."}}