{"id":"W4312126494","doi":"10.30608/hjeas/2022/28/2/7","title":"Introduction","year":2022,"lang":"en","type":"article","venue":"Hungarian Journal of English and American Studies","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001235642,0.0008340163,0.0005850532,0.001262201,0.002204207,0.004344529,0.001432578,0.002393724,0.3761062],"category_scores_gemma":[0.004433757,0.0002802198,0.0004972978,0.001349973,0.0007403754,0.002303041,0.002457606,0.002408331,0.1688603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003566442,"about_ca_system_score_gemma":0.006896229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04658531,"about_ca_topic_score_gemma":0.07226552,"domain_scores_codex":[0.9991531,0.0001000412,0.0000379738,0.0001657761,0.0003960834,0.0001470355],"domain_scores_gemma":[0.9963641,0.0003618775,0.00009900668,0.0001418328,0.002381021,0.0006521704],"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":[0.000008124283,0.000008667865,0.00009255727,0.00005482509,5.024454e-7,0.00001184041,0.00007533828,0.00002078631,0.00005437966,0.0031921,0.9774814,0.01899941],"study_design_scores_gemma":[0.000001555591,0.000004091328,0.0002653687,0.00009088185,4.845969e-7,0.0000132462,0.00008290488,0.000009111587,0.00001666099,0.0005632735,0.9989497,0.000002869826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001296436,0.01862515,0.004724413,0.1154936,0.1477757,0.0006153149,0.01616613,0.001530641,0.6937726],"genre_scores_gemma":[0.004918024,0.008624239,0.00234462,0.02352929,0.02155909,0.0003285906,0.007510071,0.0005803195,0.9306056],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6238939,"threshold_uncertainty_score":0.8899088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577923619632031,"score_gpt":0.2972448397364716,"score_spread":0.2814656035401513,"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."}}