{"id":"W4398359647","doi":"10.7910/dvn/fmk6sq/46o58f","title":"652684_6C.roi","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Computer graphics (images); Geography; Geology","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":[0.001322535,0.004465004,0.002663009,0.004559779,0.001187711,0.003319063,0.005465569,0.004510604,0.1488153],"category_scores_gemma":[0.006427192,0.001033385,0.002199269,0.005498476,0.0008816486,0.001643972,0.003121097,0.002031183,0.2362911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001911658,"about_ca_system_score_gemma":0.002523112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02523042,"about_ca_topic_score_gemma":0.04014612,"domain_scores_codex":[0.9987451,0.0002500471,0.0001130324,0.0004095736,0.0002643218,0.0002180151],"domain_scores_gemma":[0.9982058,0.0005211144,0.0001592766,0.0004661111,0.000408565,0.0002391189],"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":[0.00007084411,0.00002103241,0.0002329869,0.0006363388,0.00003110468,0.00001595,0.00001034808,0.0002308909,0.00009202187,0.0002246163,0.9961066,0.002327217],"study_design_scores_gemma":[0.0006476625,0.00005486861,0.002141963,0.0004416786,0.00008057868,0.0001704589,0.00006269779,0.001276868,0.0007142148,0.002264834,0.9920901,0.00005412372],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001776176,0.0003045547,0.0001380707,0.0001509236,0.00005449612,0.00002001102,0.9965365,0.001406904,0.001210931],"genre_scores_gemma":[0.0004881018,0.000154504,0.0003733492,0.0001126404,0.00002459507,0.00007716515,0.9975769,0.0001736726,0.001019146],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8511847,"threshold_uncertainty_score":0.4978367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02938945580301372,"score_gpt":0.305274046365251,"score_spread":0.2758845905622372,"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."}}