{"id":"W3003160360","doi":"10.1115/1.4046168","title":"Reviewer's Recognition","year":2020,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Manu; History; Medicine; Library science; Computer science; Biology; Paleontology","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":[],"consensus_categories":[],"category_scores_codex":[0.002381767,0.00004750415,0.0001018906,0.00007698213,0.0001922813,0.00007361564,0.0002043046,0.00006995687,0.00002838341],"category_scores_gemma":[0.003823605,0.00004046304,0.00002714648,0.0001619856,0.0001513609,0.0006342547,0.00002166807,0.0005062275,0.000006646947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000466043,"about_ca_system_score_gemma":0.0001138428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001636673,"about_ca_topic_score_gemma":6.578543e-7,"domain_scores_codex":[0.9991173,0.00001670911,0.0001670114,0.0000725777,0.0004615293,0.0001649026],"domain_scores_gemma":[0.9993164,0.0000644685,0.00008808902,0.00002442019,0.0002967178,0.0002099028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004354875,0.00003266397,0.0005493994,0.0004253767,0.00005839466,0.0001062154,0.07819774,0.002687194,0.02294756,0.003001959,0.02020057,0.8717494],"study_design_scores_gemma":[0.0003931187,0.0001760985,0.003156374,0.0006211461,0.0000523385,0.00006234348,0.004956179,0.001376761,0.08840936,0.001167937,0.899191,0.0004373376],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982089,0.0009074673,0.004091537,0.009065402,0.001242164,0.00007348312,9.533762e-7,0.00003495964,0.002494968],"genre_scores_gemma":[0.9952585,0.001380243,0.001733398,0.0006122819,0.001000452,2.439488e-7,6.456443e-8,0.000002961618,0.00001192699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8789904,"threshold_uncertainty_score":0.4577489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02973988827170642,"score_gpt":0.2615479704189019,"score_spread":0.2318080821471954,"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."}}