{"id":"W7099249093","doi":"","title":"TEACHING AND LEARNING RESEARCH EXCHANGE","year":2002,"lang":"en","type":"article","venue":"","topic":"Educational Assessment and Improvement","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Foundation (evidence); Educational research; Selection (genetic algorithm); Government (linguistics)","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":[0.09614941,0.0008030996,0.001888469,0.005284907,0.003551957,0.01444638,0.003584987,0.003453161,0.2747929],"category_scores_gemma":[0.1998215,0.000553593,0.0007343338,0.006966388,0.002063697,0.004421058,0.01508884,0.005537567,0.09939677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009167136,"about_ca_system_score_gemma":0.03882227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00202941,"about_ca_topic_score_gemma":0.003841553,"domain_scores_codex":[0.9283003,0.03834459,0.005027526,0.00456011,0.01857026,0.005197253],"domain_scores_gemma":[0.7575777,0.04368908,0.005782679,0.05226626,0.08176803,0.05891626],"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":[0.0005363898,0.0003029733,0.0008864052,0.0004278626,0.00002551883,0.0003278732,0.00344037,0.0002592601,0.0007598421,0.0595438,0.7447466,0.1887431],"study_design_scores_gemma":[0.00006673034,0.00006541632,0.0005571379,0.0001669647,0.000004583203,0.00007436828,0.001148985,0.0001130961,0.0001235483,0.003483636,0.9941864,0.0000091288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01067183,0.003801996,0.03304494,0.1503644,0.03255969,0.01532537,0.01758362,0.002495132,0.734153],"genre_scores_gemma":[0.0543371,0.002197868,0.02806208,0.01503025,0.003707854,0.008580723,0.009863618,0.001842295,0.8763782],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7252071,"threshold_uncertainty_score":0.9192739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4764382773371136,"score_gpt":0.5346168060746312,"score_spread":0.05817852873751761,"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."}}