{"id":"W6969073541","doi":"10.5281/zenodo.5930931","title":"SchlossLab/mikropml: mikropml 1.2.1","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Feature (linguistics); Set (abstract data type); Group (periodic table); Permutation (music); Noise (video)","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":[0.003476269,0.006342464,0.002838558,0.004786714,0.001485978,0.006440436,0.009003497,0.003740694,0.4775398],"category_scores_gemma":[0.02241085,0.004060718,0.00314497,0.003806853,0.001011201,0.007506988,0.006248873,0.004904405,0.4071122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002092044,"about_ca_system_score_gemma":0.002057998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004971053,"about_ca_topic_score_gemma":0.007066826,"domain_scores_codex":[0.9966253,0.0005314429,0.0003314331,0.000737304,0.001417233,0.0003572443],"domain_scores_gemma":[0.9943482,0.002371697,0.0002970331,0.001736109,0.0009500001,0.0002969622],"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":[0.0002076305,0.00004173875,0.0004059702,0.0009187623,0.00005671977,0.00007900057,0.00009231304,0.0009700067,0.0008440538,0.002499928,0.9716182,0.02226557],"study_design_scores_gemma":[0.000292073,0.00006473016,0.001043516,0.0003218305,0.000056401,0.0002721559,0.00008235816,0.008002549,0.00912848,0.01481958,0.9657431,0.0001732791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0006308351,0.0002899594,0.03274941,0.0003440886,0.0003113947,0.0001105728,0.1427615,0.8112187,0.0115834],"genre_scores_gemma":[0.00751652,0.0002773676,0.03978103,0.000664307,0.00009453702,0.0006718319,0.2853832,0.6526668,0.01294439],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.4775398,"threshold_uncertainty_score":0.745226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03274671333759514,"score_gpt":0.2400384675884734,"score_spread":0.2072917542508783,"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."}}