{"id":"W4230454602","doi":"10.12968/sece.2009.7.1535","title":"MTL explained","year":2009,"lang":"en","type":"article","venue":"SecEd","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fields Institute for Research in Mathematical Sciences","funders":"","keywords":"Happening; Mathematics education; Psychology; Pedagogy; History; Art history","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001373215,0.0004667482,0.000317652,0.0009181918,0.004588198,0.003807834,0.0008854598,0.0039727,0.3743244],"category_scores_gemma":[0.007784752,0.0003424299,0.0005642075,0.0005431605,0.001509333,0.003983187,0.003082914,0.00597638,0.1501741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004024156,"about_ca_system_score_gemma":0.003009413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01597829,"about_ca_topic_score_gemma":0.03327643,"domain_scores_codex":[0.9986523,0.0003091838,0.00004473589,0.0001493593,0.0005334957,0.0003109737],"domain_scores_gemma":[0.9979756,0.000331568,0.00005339934,0.0001106592,0.001002398,0.0005263455],"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":[0.00003407519,0.0000238933,0.0002298558,0.00003519487,0.000001247117,0.000225917,0.0008049962,0.00002822609,0.000223397,0.02034569,0.9570007,0.02104676],"study_design_scores_gemma":[0.000005222907,0.0000079417,0.0001151733,0.00003339183,0.000001026262,0.000125109,0.0003801256,0.0000557496,0.0001149122,0.001242463,0.997912,0.000006863261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.002686955,0.001989685,0.004942647,0.2076427,0.02449519,0.0002140874,0.001768925,0.002167527,0.7540923],"genre_scores_gemma":[0.01026134,0.0003885287,0.0007637907,0.03137276,0.0008516302,0.00007086594,0.0003107287,0.0004811254,0.9554992],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3743244,"threshold_uncertainty_score":0.8924503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007087046970742274,"score_gpt":0.2154912346861004,"score_spread":0.2084041877153581,"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."}}