{"id":"W7098592908","doi":"","title":"TEACHING AND LEARNING RESEARCH EXCHANGE","year":2005,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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":[0.05764878,0.0006558817,0.001587205,0.004193914,0.00319056,0.01380367,0.003012684,0.003185878,0.3212391],"category_scores_gemma":[0.1257366,0.0004161742,0.0006154833,0.005218868,0.001571017,0.004048739,0.0133538,0.004336521,0.1311594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008492146,"about_ca_system_score_gemma":0.03351858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002745345,"about_ca_topic_score_gemma":0.005349395,"domain_scores_codex":[0.9597561,0.01803509,0.002737068,0.003211387,0.01241243,0.003847877],"domain_scores_gemma":[0.8290887,0.02260758,0.003966653,0.03191915,0.05797498,0.05444289],"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":[0.0003239753,0.0001868119,0.0008373743,0.0002286605,0.00001861572,0.0002114143,0.001386603,0.0001701064,0.0004339346,0.07038627,0.7797663,0.14605],"study_design_scores_gemma":[0.00004225124,0.00004700974,0.000686037,0.0001080102,0.000003736984,0.0000662304,0.0006178226,0.00009787221,0.00008725721,0.00319604,0.9950407,0.000006950196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007549087,0.003416797,0.01585904,0.1256142,0.02374678,0.004858742,0.01235921,0.001933645,0.8046626],"genre_scores_gemma":[0.04565648,0.001651048,0.01378044,0.01110475,0.002395644,0.002414605,0.00842058,0.001144843,0.9134315],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3212391,"threshold_uncertainty_score":0.96817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1382873387193651,"score_gpt":0.2900227343712063,"score_spread":0.1517353956518412,"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."}}