{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004909388,0.0003871711,0.0005963423,0.0004564867,0.01243237,0.0002525329,0.003491281,0.0005970955,0.6303219],"category_scores_gemma":[0.006172339,0.0004208098,0.0001403719,0.00083559,0.0003647903,0.0002289577,0.007694743,0.00480324,0.08940409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007098015,"about_ca_system_score_gemma":0.00008760858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001690322,"about_ca_topic_score_gemma":0.00007279565,"domain_scores_codex":[0.9884746,0.006617831,0.001597341,0.001175023,0.001002765,0.001132434],"domain_scores_gemma":[0.9948865,0.0005480328,0.0007913321,0.002288227,0.000875848,0.000610055],"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":[0.0001266407,0.000203231,0.000007495677,0.0005191955,0.00005484323,0.00005865645,0.00117158,0.000006298299,0.000002370547,0.00009111696,0.987238,0.01052052],"study_design_scores_gemma":[0.0002299937,0.0004165737,0.00003356944,0.0001358419,0.0000592436,0.00002322405,0.004297684,0.00003013291,0.000001314901,0.00008254116,0.9943135,0.0003763366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001594181,0.0001289015,0.00002642474,0.0006874411,0.001961863,0.001824383,0.9874957,0.0006916612,0.007024182],"genre_scores_gemma":[0.00018023,0.001078474,0.00003141623,0.002157743,0.001267424,5.586672e-7,0.9925699,0.001942989,0.0007713203],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5409178,"threshold_uncertainty_score":0.9998243,"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."}}