{"id":"W4298343026","doi":"10.18280/ria.360408","title":"Factors Affecting the Academic Performance of Students with Hearing Impairment","year":2022,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Hearing Impairment and Communication","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logistic regression; Socioeconomic status; Naive Bayes classifier; Affect (linguistics); Psychology; Random forest; Decision tree; Hearing loss; Identification (biology); Audiology; Medical education; Support vector machine; Medicine; Computer science; Machine learning; Environmental health; Communication","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":[],"consensus_categories":[],"category_scores_codex":[0.0009925262,0.0001118612,0.0001384121,0.00007014154,0.0004993835,0.00001601973,0.000744477,0.00003142988,0.0006429456],"category_scores_gemma":[0.00001555665,0.00007981554,0.00005286806,0.0003834195,0.00007541628,0.00006066511,0.0003323792,0.0005305686,0.00004730104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008055205,"about_ca_system_score_gemma":0.00002081839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009964356,"about_ca_topic_score_gemma":0.000003692801,"domain_scores_codex":[0.9987224,0.0002048972,0.0003196781,0.0002027873,0.0002813464,0.0002688565],"domain_scores_gemma":[0.9989415,0.000220869,0.0001666039,0.0006049975,0.0000272435,0.00003879295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001430322,0.0004730872,0.8995849,0.0000416914,0.00007314263,0.0000020085,0.05274772,0.03267917,0.001255734,0.0007965654,0.0001672609,0.01203566],"study_design_scores_gemma":[0.0003192371,0.004361743,0.7488453,0.0002461829,0.00009006184,0.00007824691,0.1662925,0.03204685,0.04159261,0.0001148856,0.00538329,0.0006291248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969149,0.0001693692,0.0004212253,0.0002036667,0.0002173823,0.0003752251,0.000001492262,0.00004267985,0.00165407],"genre_scores_gemma":[0.9981002,0.00001895856,0.00002697339,0.0000479991,0.00002462731,0.00007389737,0.000003865601,0.00001606671,0.001687402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1507396,"threshold_uncertainty_score":0.7039804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1039459386399945,"score_gpt":0.3621481728123594,"score_spread":0.258202234172365,"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."}}