{"id":"W4244040837","doi":"10.17161/iallt.v19i3-4.9173","title":"Special Projects in the Works","year":2019,"lang":"en","type":"article","venue":"IALLT Journal of Language Learning Technologies","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001205455,0.0001201088,0.000226558,0.000314823,0.0001570086,0.0002807547,0.0005912131,0.00009298881,0.0004381699],"category_scores_gemma":[0.0008564399,0.00007253026,0.00009982629,0.00009812963,0.0001372341,0.0002453649,0.00006472588,0.001959575,0.00007253997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003288561,"about_ca_system_score_gemma":0.00003487053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005063381,"about_ca_topic_score_gemma":0.000116334,"domain_scores_codex":[0.9988803,0.0002045966,0.0002965545,0.0001084648,0.0002780958,0.0002319907],"domain_scores_gemma":[0.9991663,0.0002752852,0.0003202591,0.0001757747,0.00005246092,0.000009954564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001117145,0.0001244879,0.01605748,0.00005535613,0.0000677742,0.0005622618,0.612754,0.0009924424,0.0003504202,0.05161805,0.005301798,0.3120042],"study_design_scores_gemma":[0.0005837834,0.0004747407,0.0005266533,0.0004152113,0.00001758402,0.0001064726,0.6752595,0.00004898703,0.00009701803,0.0008500537,0.3214355,0.0001845227],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9390481,0.00163532,0.00001571549,0.001856784,0.0007291583,0.0001124188,2.742555e-7,0.0001954172,0.05640678],"genre_scores_gemma":[0.9954581,0.00005048207,0.0002548429,0.00008091824,0.001958184,0.000001971138,7.746876e-7,0.00001458427,0.002180088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3161336,"threshold_uncertainty_score":0.8513487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030134338220847,"score_gpt":0.251062002309803,"score_spread":0.2307606589275946,"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."}}