{"id":"W2974116910","doi":"10.22329/celt.v12i0.5295","title":"Train Wrecks","year":2019,"lang":"en","type":"article","venue":"Collected Essays on Learning and Teaching","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Humanities; Political science; Sociology; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005610493,0.0001064218,0.0001167169,0.0001486721,0.0004413738,0.0002246058,0.0002523862,0.00006300957,0.00004762462],"category_scores_gemma":[0.0004342752,0.0001034578,0.00002750922,0.0001901544,0.0000201703,0.0002123804,0.00006041631,0.0006241704,0.0001818427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004688705,"about_ca_system_score_gemma":0.00005590991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004474112,"about_ca_topic_score_gemma":0.000004716399,"domain_scores_codex":[0.998879,0.0002558478,0.0001489589,0.0003370463,0.000160508,0.0002186447],"domain_scores_gemma":[0.9992545,0.0003758206,0.00007074311,0.0001967321,0.00003546905,0.00006679506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002202553,0.0001624856,0.01356597,0.00002298806,0.00002544557,0.000005973076,0.01980344,0.003933215,0.007224676,0.3768674,0.001174339,0.5771921],"study_design_scores_gemma":[0.0005634934,0.001234212,0.01029943,0.0003383097,0.00001554632,0.00005469052,0.00407214,0.8428797,0.005711221,0.02046525,0.1132729,0.001093129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7543867,0.00004520927,0.0951994,0.0008506913,0.0006257981,0.0001706552,1.970051e-7,0.0003910395,0.1483303],"genre_scores_gemma":[0.9838501,0.000004732779,0.005986793,0.0001293136,0.00006107875,0.000007398848,0.000001738948,0.00001048797,0.009948347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8389465,"threshold_uncertainty_score":0.4218888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119633971587951,"score_gpt":0.2735488838490868,"score_spread":0.2623525441332073,"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."}}