{"id":"W7028221380","doi":"","title":"ERIC ED499879: Student Success. March 2006","year":2006,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Extant taxon; State (computer science); Higher education; Core curriculum; Public policy","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":[],"category_scores_codex":[0.001805813,0.0009475021,0.0006302663,0.002288978,0.001383962,0.004770484,0.001058383,0.00381461,0.5381572],"category_scores_gemma":[0.006672385,0.0006145799,0.000238876,0.003718107,0.0004287351,0.002336309,0.001952028,0.001471694,0.5293824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001309669,"about_ca_system_score_gemma":0.00149603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01025602,"about_ca_topic_score_gemma":0.01514554,"domain_scores_codex":[0.9990664,0.0001831166,0.00009326186,0.0001078389,0.0004154388,0.0001339545],"domain_scores_gemma":[0.9965913,0.0007852346,0.0002770699,0.0002659511,0.001483861,0.0005965735],"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":[0.00001209122,0.000007074907,0.0001140388,0.00005821078,4.458981e-7,0.00001561174,0.00003110366,0.000007815928,0.00001412951,0.0005129322,0.9726409,0.02658558],"study_design_scores_gemma":[0.000006313926,0.00001679573,0.001429668,0.000299319,9.088096e-7,0.00003018503,0.00007097716,0.00001885351,0.00002737471,0.0001763315,0.9979182,0.000005004114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005033169,0.006416921,0.0002727336,0.008760608,0.00216182,0.0001741879,0.01367544,0.001051762,0.9669831],"genre_scores_gemma":[0.002575862,0.005615435,0.0001736729,0.003132086,0.0008049122,0.0001382588,0.005018818,0.0002769938,0.982264],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5381572,"threshold_uncertainty_score":0.6587627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006505152597383101,"score_gpt":0.2074446051717354,"score_spread":0.2009394525743523,"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."}}