{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003647363,0.00002965354,0.00002821615,0.00002283659,0.00002262342,0.00002991032,0.0001774954,0.00001014917,0.000007105478],"category_scores_gemma":[0.00001087512,0.00002820748,0.00001227301,0.00009630941,0.000001537386,0.00008685319,0.00001227118,0.00002615237,0.0000401476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009462602,"about_ca_system_score_gemma":0.00001378094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.624314e-7,"about_ca_topic_score_gemma":2.856782e-7,"domain_scores_codex":[0.999746,0.000002328228,0.00004095313,0.00007152253,0.00005829753,0.00008095129],"domain_scores_gemma":[0.9998009,0.00001142271,0.00000690658,0.0001327892,0.00001448481,0.00003347286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[4.970377e-7,0.00002725518,0.00003626864,0.000001892905,0.000002806595,0.000003061619,0.0005891251,0.005648429,0.005601096,0.9700379,0.002467115,0.01558451],"study_design_scores_gemma":[0.0007567219,0.0002527404,0.1447342,0.0000440481,0.000005265382,0.00003821875,0.00009764003,0.6770654,0.01108031,0.1277736,0.03738548,0.0007664593],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03708845,0.00007003899,0.9338571,0.007106717,0.0005773508,0.00003944591,1.62181e-7,0.0001852104,0.02107557],"genre_scores_gemma":[0.9511563,0.00000191385,0.04814127,0.0003835423,0.00005671495,7.601195e-7,7.110147e-7,0.00000121609,0.0002575645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9140679,"threshold_uncertainty_score":0.1150268,"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."}}