{"id":"W6985004554","doi":"","title":"Maria Vinokurova","year":2021,"lang":"en","type":"other","venue":"OpenEdition (OpenEdition)","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"German; Interpreter; Quarter (Canadian coin)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001154994,0.000761004,0.0009223309,0.0003977595,0.0004130219,0.001054042,0.001532686,0.0006090774,0.510151],"category_scores_gemma":[0.0004812031,0.0007604306,0.0002089644,0.0005229481,0.0004068003,0.002915305,0.0007075344,0.0004756735,0.02066711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000176623,"about_ca_system_score_gemma":0.0003636926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005350403,"about_ca_topic_score_gemma":0.0013227,"domain_scores_codex":[0.9947109,0.0006570779,0.0008022826,0.001609792,0.001373821,0.000846186],"domain_scores_gemma":[0.9969296,0.0001580065,0.0009112944,0.001417321,0.0002329839,0.0003508326],"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":[0.00002903144,0.0001703581,0.0000288832,0.0003025427,0.0000310669,0.0001909272,0.00002458119,0.0001206323,0.07717269,0.03180105,0.8896261,0.0005020704],"study_design_scores_gemma":[0.0006268324,0.0001080541,0.001386898,0.000822812,0.00006998196,0.0001184347,0.00003090239,0.0001122609,0.0126299,0.0006154996,0.9823976,0.001080813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004058791,0.0008968599,0.004062757,0.007900684,0.01506421,0.001026964,0.001068229,0.001031396,0.9685431],"genre_scores_gemma":[0.002632303,0.0002745688,0.02804624,0.01978695,0.004594208,0.0005465789,0.004234468,0.0008672605,0.9390174],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4894839,"threshold_uncertainty_score":0.999983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01359659389283326,"score_gpt":0.258856624476704,"score_spread":0.2452600305838708,"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."}}