{"id":"W4308003746","doi":"10.5539/mas.v16n4p61","title":"Reviewer Acknowledgements, Vol. 16, No. 4, November 2022","year":2022,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001001639,0.0001095438,0.00009427915,0.00006629703,0.001196463,0.00005009588,0.0007675895,0.00001381178,0.06467563],"category_scores_gemma":[0.0004603627,0.00009573574,0.00002978411,0.001474664,0.0003929931,0.0002971377,0.0009858002,0.0001906066,0.006702589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008133631,"about_ca_system_score_gemma":0.0001050753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002108777,"about_ca_topic_score_gemma":0.00001534702,"domain_scores_codex":[0.9978907,0.000009833605,0.0002126501,0.0004909032,0.00104358,0.0003523381],"domain_scores_gemma":[0.9990655,0.00001376657,0.00008564234,0.0004092232,0.0003277939,0.00009810138],"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":[0.00000605125,0.0003717552,0.003512088,0.000007291376,0.000004259522,3.053267e-7,0.0004734507,0.0008393787,0.1057657,0.004079901,0.8415263,0.0434136],"study_design_scores_gemma":[0.0001373554,0.00002682178,0.008469221,0.000002106825,0.000003743148,6.789229e-7,0.0001055832,0.006685837,0.0007443052,0.007031955,0.9765795,0.0002129246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08429235,0.0001086413,0.00964791,0.0004758881,0.006823986,0.0007851158,0.00002429186,0.00008308337,0.8977587],"genre_scores_gemma":[0.927458,0.00001852604,0.002024942,0.004115432,0.0003657183,0.0005976462,0.00002706139,0.00002047942,0.06537216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8431657,"threshold_uncertainty_score":0.9940708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452352826823428,"score_gpt":0.2541156931462037,"score_spread":0.2395921648779695,"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."}}