{"id":"W4394051994","doi":"10.5281/zenodo.6382987","title":"Clinical Dataset SE objects - GSE25066","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Computer science; Information retrieval","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":[],"consensus_categories":[],"category_scores_codex":[0.002250773,0.00363087,0.002882657,0.004964883,0.001511533,0.002936326,0.00435889,0.00435948,0.04590857],"category_scores_gemma":[0.01062197,0.0008553443,0.002316272,0.00642346,0.000759869,0.0009892168,0.003062635,0.002329965,0.06555478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002371486,"about_ca_system_score_gemma":0.005697511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02883118,"about_ca_topic_score_gemma":0.04414118,"domain_scores_codex":[0.9976678,0.000506069,0.0002851071,0.0008061107,0.0004446104,0.0002903396],"domain_scores_gemma":[0.9963187,0.0009640938,0.0003277587,0.0008726224,0.001003314,0.0005133538],"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":[0.0003179005,0.00006725337,0.001522891,0.001241283,0.0001512604,0.00009870768,0.00002956806,0.0004139484,0.0004500439,0.0004332135,0.991794,0.003479801],"study_design_scores_gemma":[0.001856102,0.0001645109,0.01415594,0.0007488845,0.0004448128,0.0007758709,0.0001769115,0.001111641,0.001719003,0.002969112,0.9757851,0.00009213172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007633184,0.0003895508,0.0001980237,0.0002486037,0.00006992916,0.00005774807,0.9963197,0.0006939463,0.001259267],"genre_scores_gemma":[0.0007609632,0.00009403553,0.0003951518,0.000128398,0.00001833774,0.0001272753,0.9977561,0.00007727712,0.0006425779],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04590857,"threshold_uncertainty_score":0.1535795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3244977594440435,"score_gpt":0.5041622567121173,"score_spread":0.1796644972680739,"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."}}