{"id":"W4229552440","doi":"10.17161/iallt.v17i2.9154","title":"NALLD Membership Roster","year":2019,"lang":"en","type":"article","venue":"IALLT Journal of Language Learning Technologies","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Concordia University; University of Alberta; York University; University of St Andrews; Boston College; University of South Dakota; Turun Yliopisto; University of Oxford; University of Windsor; Texas State University; University of Minnesota; Simon Fraser University; McGill University; Fukuoka University; University of Lethbridge; Helsingin Yliopisto; Escuela Superior Politécnica del Litoral; Nanzan University; University of Pittsburgh","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007963789,0.0001098457,0.0003957978,0.000355927,0.00005913684,0.00008714914,0.0004471779,0.0001089421,0.003602851],"category_scores_gemma":[0.0004958404,0.000102529,0.0001542096,0.000157244,0.00009366299,0.0002603481,0.0001589096,0.0003909553,0.005203479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006265892,"about_ca_system_score_gemma":0.00001108437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001513799,"about_ca_topic_score_gemma":0.000001805041,"domain_scores_codex":[0.999037,0.00001060473,0.0004842067,0.0001919429,0.00004662823,0.0002295913],"domain_scores_gemma":[0.9990028,0.00006302697,0.0006626915,0.0002098065,0.00003851694,0.00002320708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002773222,0.0002733381,0.5783805,0.0002327916,0.001428318,0.0004379403,0.03260018,0.003355347,0.002377193,0.2323893,0.1118942,0.03635359],"study_design_scores_gemma":[0.002542931,0.0006740642,0.004020158,0.0001884349,0.00003664569,0.0001747499,0.1006132,0.0004596201,0.002646298,0.01954306,0.8682328,0.0008680153],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8046036,0.006890887,0.000149941,0.001142724,0.002067331,0.00009192109,0.00001283201,0.0001942851,0.1848465],"genre_scores_gemma":[0.9467283,0.0001714166,0.0010797,0.00005771747,0.00005595637,0.000001024216,6.870262e-7,0.00001224412,0.05189292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7563387,"threshold_uncertainty_score":0.997308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0223029227099266,"score_gpt":0.2126312296838425,"score_spread":0.1903283069739159,"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."}}