{"id":"W4233155860","doi":"10.1190/tle23080746.1","title":"Mutating SEG","year":2004,"lang":"vi","type":"article","venue":"The Leading Edge","topic":"Education in Diverse Contexts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shell (Canada); Global Affairs Canada","funders":"","keywords":"Nice; Computer science; Section (typography); Operations research; Engineering; Operating system; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002319122,0.0007591948,0.0006555658,0.001209564,0.002980823,0.003607855,0.00154561,0.001361526,0.03519574],"category_scores_gemma":[0.01864246,0.0004565946,0.000648347,0.001518973,0.003690103,0.005702492,0.00840809,0.002706729,0.009448479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001790899,"about_ca_system_score_gemma":0.002844524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004858973,"about_ca_topic_score_gemma":0.005396581,"domain_scores_codex":[0.9963432,0.000925671,0.0001931493,0.00105134,0.0008555295,0.0006311522],"domain_scores_gemma":[0.9939504,0.001163994,0.0005014063,0.00239521,0.001603428,0.0003855753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004904714,0.0002613461,0.02874462,0.0002867242,0.0001213757,0.002202911,0.01031971,0.002973228,0.0121002,0.5956067,0.09828731,0.2486054],"study_design_scores_gemma":[0.0000475174,0.0001445292,0.005606166,0.0002323644,0.0001199942,0.002094746,0.007811633,0.004649322,0.01562219,0.1797024,0.7838624,0.000106769],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3046622,0.001566958,0.1780114,0.01899931,0.004918187,0.0003479232,0.006386194,0.01943072,0.4656771],"genre_scores_gemma":[0.8282197,0.0006211534,0.04933434,0.005412376,0.0003211634,0.0002485328,0.004065078,0.005531024,0.1062467],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03519574,"threshold_uncertainty_score":0.1177415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05816798032781326,"score_gpt":0.3631138215237368,"score_spread":0.3049458411959235,"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."}}