{"id":"W4210636189","doi":"10.5539/cis.v15n1p81","title":"Reviewer Acknowledgements for Computer and Information Science, Vol. 15, No. 1","year":2022,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Information retrieval; Library science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03484799,0.00240695,0.005530237,0.01081919,0.005509494,0.01048195,0.00517814,0.01544801,0.1620393],"category_scores_gemma":[0.3660616,0.001543043,0.003538666,0.004749113,0.00222709,0.006168372,0.003479826,0.008992195,0.1057923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005363736,"about_ca_system_score_gemma":0.01068099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003629771,"about_ca_topic_score_gemma":0.006274363,"domain_scores_codex":[0.9591389,0.007028827,0.007430752,0.003122241,0.02154934,0.001729885],"domain_scores_gemma":[0.259431,0.02763355,0.01046207,0.006580051,0.6857575,0.01013571],"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":[0.00001861591,0.000003216708,0.00005427279,0.0002298902,0.000004660107,0.00003335684,0.00001580673,0.000006710643,0.00002361255,0.00008939421,0.9959075,0.003612995],"study_design_scores_gemma":[0.0001182755,0.00003650796,0.0006956907,0.001762392,0.00005107305,0.000542858,0.0001735887,0.0001848376,0.0001810438,0.0009556816,0.9952176,0.00008058179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001252841,0.003241721,0.001036822,0.1303526,0.8568832,0.0005963345,0.000915985,0.0004804306,0.006367656],"genre_scores_gemma":[0.004610178,0.009923112,0.003088914,0.1691454,0.6749779,0.002934191,0.002818817,0.001461888,0.1310396],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1620393,"threshold_uncertainty_score":0.5420755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020976181329496,"score_gpt":0.2501264791967056,"score_spread":0.2299167173834107,"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."}}