{"id":"W2351076592","doi":"","title":"Analysis and Implementation of Distance Education Individuation Based on Web Data Mining","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Individuation; Computer science; Distance education; Mode (computer interface); Data collection; Web mining; Data science; World Wide Web; Data mining; Web service; Human–computer interaction; Mathematics education; Statistics","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":[0.0002237561,0.0000840895,0.00009922274,0.0003395133,0.0001245451,0.00006098815,0.0007816374,0.00004889677,0.00001202163],"category_scores_gemma":[0.000001246809,0.00008849031,0.00002396957,0.0008779349,0.00004736078,0.0002390929,0.0001698071,0.0001019609,0.000003753121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001557594,"about_ca_system_score_gemma":0.0002647522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001747166,"about_ca_topic_score_gemma":0.0001251504,"domain_scores_codex":[0.9991331,0.00002049213,0.0002189264,0.0004059172,0.0001275937,0.00009394777],"domain_scores_gemma":[0.9987529,0.00009998439,0.0001720194,0.0008445414,0.00009378506,0.00003680203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[7.772757e-7,0.0002821533,0.09746306,0.00001521653,0.00005860662,4.046039e-8,0.0001807713,0.00003589666,0.005211014,0.07754034,0.0007054504,0.8185067],"study_design_scores_gemma":[0.0004945788,0.00005927356,0.6904554,0.00001939193,0.0002144548,0.000004062612,0.0002429695,0.1741322,0.01078466,0.00452792,0.1186886,0.0003764876],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06672334,0.00001628026,0.9303913,0.002290423,0.00003377342,0.0003088698,0.00004207991,0.00005586679,0.0001380898],"genre_scores_gemma":[0.580124,0.000002242343,0.4192845,0.0001576987,0.00002812445,0.0001325469,0.0002600619,0.000002438114,0.000008406749],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8181302,"threshold_uncertainty_score":0.360853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306960479896443,"score_gpt":0.3375549701847188,"score_spread":0.3244853653857543,"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."}}