{"id":"W4398437430","doi":"10.7910/dvn/fmk6sq/jkfgm7","title":"657163_1_S1C.roi","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Advanced Breast Cancer Therapies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008880666,0.0004724247,0.0007648742,0.0001523866,0.0000733137,0.00003915478,0.0004723942,0.0003055289,0.03936324],"category_scores_gemma":[0.000240264,0.0004434511,0.0002004602,0.0002403925,0.000161482,0.000191137,0.000368149,0.0008143691,0.3778503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000201272,"about_ca_system_score_gemma":0.000358456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001066504,"about_ca_topic_score_gemma":0.00002225961,"domain_scores_codex":[0.9979096,0.00004346231,0.0003708725,0.0007124693,0.0005396038,0.0004239629],"domain_scores_gemma":[0.9975206,0.00005332106,0.0002136737,0.001712909,0.0000923663,0.0004071905],"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":[0.0005239508,0.00008774696,0.00000517408,0.0004289982,0.0002689679,0.0008897007,0.00002103758,0.000001238415,0.0001103368,0.00001161642,0.9955097,0.002141514],"study_design_scores_gemma":[0.001689575,0.0001784624,0.0000520861,0.0002601903,0.0004819715,0.0002485978,0.00005003645,0.000004771354,0.00008358829,0.00002338824,0.996531,0.0003963755],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002996904,0.000008145138,0.00009034064,0.00009258814,0.0007291125,0.000469715,0.998163,0.0001617618,0.0002822833],"genre_scores_gemma":[0.000004539587,0.0004012022,0.001313626,0.004849358,0.001441283,0.00004674337,0.9912785,0.000065275,0.0005994648],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.338487,"threshold_uncertainty_score":0.9998018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01989809578444636,"score_gpt":0.2748650294274559,"score_spread":0.2549669336430096,"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."}}