{"id":"W6926409621","doi":"10.22008/fk2/cs5lka/lnf4xv","title":"chrisz10.gsf","year":2022,"lang":"hu","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","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":[0.002979888,0.0007722556,0.001185322,0.0001411522,0.0003980608,0.00006337043,0.001040605,0.001203432,0.02468389],"category_scores_gemma":[0.002124043,0.0006370705,0.0002655871,0.0003066807,0.0006807804,0.000008318626,0.002209021,0.001233053,0.00009764593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002048556,"about_ca_system_score_gemma":0.00016388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00245648,"about_ca_topic_score_gemma":0.001254602,"domain_scores_codex":[0.9948721,0.001657714,0.001147643,0.0009488796,0.0005943262,0.000779348],"domain_scores_gemma":[0.9969034,0.0005696901,0.0008752649,0.00110036,0.0002159363,0.0003353964],"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":[0.00114444,0.0003990187,0.2954515,0.0006595855,0.000511192,0.00005407356,0.00004303052,0.0001957018,0.0001086966,0.00001114772,0.6944994,0.00692215],"study_design_scores_gemma":[0.001095496,0.00212043,0.346558,0.00003537909,0.0001350449,0.0001084251,0.00002837196,0.0001721652,0.00003346201,0.00004601363,0.6488999,0.0007673402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3056835,0.009238476,0.0003314189,0.0002656462,0.0008956348,0.0007978082,0.6811938,0.00002082434,0.001572901],"genre_scores_gemma":[0.1154125,0.0120943,0.0004271102,0.0006287069,0.0002941721,0.00003900798,0.8691233,0.00004452461,0.00193635],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.190271,"threshold_uncertainty_score":0.999608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715127517586906,"score_gpt":0.2614189879443947,"score_spread":0.2442677127685256,"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."}}