{"id":"W4323654856","doi":"10.18280/isi.280116","title":"Hybrid Learning Predictions on Learning Quality Using Multiple Linear Regression","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Direktorat Jenderal Pendidikan Tinggi","keywords":"Quality (philosophy); Linear regression; Computer science; Machine learning; Regression; Artificial intelligence; Statistics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006193368,0.00124329,0.0008041342,0.001720822,0.0003148294,0.001739402,0.0009421756,0.0009251513,0.002200015],"category_scores_gemma":[0.01761175,0.0002840518,0.001089027,0.001240746,0.0004073457,0.001672267,0.0009199152,0.001464244,0.0008917477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009325303,"about_ca_system_score_gemma":0.0004996241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008832782,"about_ca_topic_score_gemma":0.005144916,"domain_scores_codex":[0.9977022,0.001195679,0.0001399569,0.0004929624,0.000301431,0.0001677721],"domain_scores_gemma":[0.9858543,0.01123742,0.0008467338,0.0005435877,0.001295308,0.0002225847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006677813,0.001033781,0.1802375,0.0001535862,0.0005130798,0.0001741145,0.000472688,0.6271572,0.001590314,0.001654791,0.002001225,0.1843439],"study_design_scores_gemma":[0.000005533181,0.00009588324,0.009459903,0.00001518235,0.00002436679,0.00001247547,0.00005937649,0.9891928,0.0004378303,0.0005566098,0.0001281695,0.00001198423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7974114,0.0006321897,0.1956008,0.0008270218,0.0001063576,0.0001385502,0.0007255404,0.001096074,0.003461959],"genre_scores_gemma":[0.9874319,0.00009596582,0.01109728,0.00002884402,0.00001651222,0.00004801557,0.0003404697,0.00002570314,0.0009152818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008832782,"threshold_uncertainty_score":0.03275406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04472399046861803,"score_gpt":0.2938667592866772,"score_spread":0.2491427688180591,"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."}}