{"id":"W4226014027","doi":"10.46586/tches.v2021.i1.v–ix","title":"CHES 2021 Artifact Review","year":2022,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Artifact (error); Computer science; Artificial intelligence","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002056475,0.000960213,0.0006057309,0.00698735,0.0008554159,0.00424333,0.001550143,0.002067719,0.1799981],"category_scores_gemma":[0.009813746,0.0004025537,0.0008603345,0.003510741,0.0006907781,0.001745507,0.002109362,0.001835503,0.123412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002751491,"about_ca_system_score_gemma":0.005599138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00659843,"about_ca_topic_score_gemma":0.01805905,"domain_scores_codex":[0.9986246,0.0001660228,0.0001110391,0.0001653675,0.0007712044,0.0001618243],"domain_scores_gemma":[0.9903076,0.001165241,0.0005917093,0.0006679817,0.005969764,0.001297839],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002164007,0.000006301916,0.00004411195,0.0003509015,0.000007979036,0.0000345104,0.000006023156,0.00001689389,0.00008797182,0.0009946069,0.9399654,0.05846365],"study_design_scores_gemma":[0.000004902263,0.000006595496,0.0001360283,0.0002766062,0.000007169456,0.00004821585,0.000005618801,0.000006144707,0.0000555303,0.0002580817,0.999193,0.000002026562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0008970157,0.343173,0.002420865,0.07575037,0.2110696,0.0003076818,0.008768859,0.002190438,0.3554221],"genre_scores_gemma":[0.00673148,0.1682329,0.002500047,0.04325891,0.04496137,0.0002061788,0.01035766,0.001332035,0.7224194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9979435,"threshold_uncertainty_score":0.6021535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2348768818083558,"score_gpt":0.5629270871013383,"score_spread":0.3280502052929825,"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."}}