{"id":"W2578204778","doi":"","title":"Analysing target language interaction in IWB-mediated activities: from drills to tasks in state secondary EFL classes","year":2014,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Linguistic Studies and Language Acquisition","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Linguistic Association","funders":"","keywords":"Computer science; State (computer science); Natural language processing; Programming language","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002810733,0.000331557,0.0005291381,0.0005711316,0.0001336973,0.0005424175,0.001260562,0.0001826878,0.0001407056],"category_scores_gemma":[0.002126428,0.0003574755,0.0001289224,0.0006709521,0.00006407484,0.0002569762,0.001877959,0.0007487399,0.00003424578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003437601,"about_ca_system_score_gemma":0.0001908597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01578443,"about_ca_topic_score_gemma":0.01624258,"domain_scores_codex":[0.9945894,0.003026064,0.0006508405,0.000952452,0.0003759104,0.0004052852],"domain_scores_gemma":[0.994741,0.002491042,0.0004539466,0.001677147,0.0004997869,0.0001371142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001292045,0.001956239,0.01767528,0.0005774873,0.0005173835,0.0003607179,0.5948549,0.00896051,0.02084738,0.007871329,0.003566711,0.3426829],"study_design_scores_gemma":[0.004058266,0.000007044716,0.09446182,0.01331754,0.0001039904,0.00001526829,0.01155021,0.7319776,0.1037038,0.0149202,0.02231601,0.00356821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6101446,0.000828161,0.3760694,0.002424147,0.0006159568,0.0004032562,0.0001246804,0.0001905816,0.009199203],"genre_scores_gemma":[0.94701,0.0001250176,0.05117469,0.0004628774,0.00006052104,0.00006473644,0.0006396159,0.00002760414,0.0004349678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7230171,"threshold_uncertainty_score":0.9998877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008167170054504595,"score_gpt":0.2452573139124372,"score_spread":0.2370901438579326,"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."}}