{"id":"W6926283957","doi":"10.22008/fk2/cs5lka/kdvylv","title":"w50vgbw7.rtl","year":2022,"lang":"ru","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[],"category_scores_codex":[0.002689477,0.0009274639,0.001607186,0.0003233277,0.0004822417,0.0004900426,0.003025313,0.0004559709,0.01671902],"category_scores_gemma":[0.002115255,0.0007743309,0.0003630083,0.001093953,0.00114006,0.0005279874,0.004955534,0.0009416098,0.0003368181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004400139,"about_ca_system_score_gemma":0.000291852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005801086,"about_ca_topic_score_gemma":0.0009283571,"domain_scores_codex":[0.9928663,0.001653895,0.001178243,0.001842092,0.00130395,0.001155554],"domain_scores_gemma":[0.9940192,0.002464137,0.0007651742,0.001689245,0.0003201267,0.0007421186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003604875,0.001306431,0.268235,0.000333817,0.0003060033,0.0005463875,0.00003662223,0.00003289523,0.000001514354,0.0002539281,0.6994841,0.02910279],"study_design_scores_gemma":[0.001101139,0.001087479,0.658178,0.00008452832,0.00016387,0.0001360475,0.00001314598,0.0003578991,0.000003917633,0.0016008,0.3362705,0.001002576],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.06004968,0.009858727,0.0004906403,0.0005213879,0.001500911,0.0007516576,0.92443,0.0001110345,0.002285962],"genre_scores_gemma":[0.1631455,0.003495254,0.00108133,0.001854866,0.0002859596,0.000104976,0.826185,0.00007435717,0.003772755],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.389943,"threshold_uncertainty_score":0.9994708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0347885352282021,"score_gpt":0.2617646948803831,"score_spread":0.226976159652181,"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."}}