{"id":"W3201287950","doi":"10.3138/cmlr-2020-0069","title":"A Rhizomatic CALL: Technological Becoming in the Language Classroom","year":2021,"lang":"fr","type":"article","venue":"Canadian Modern Language Review/ La Revue canadienne des langues vivantes","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00187866,0.0006434958,0.001021322,0.0004042716,0.0007099652,0.0005128155,0.0009453785,0.0003658565,0.002974203],"category_scores_gemma":[0.002877816,0.0005440733,0.0004104822,0.000489947,0.0007843059,0.0002698664,0.0001003126,0.001662325,0.0001684996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008912536,"about_ca_system_score_gemma":0.0004344951,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4886078,"about_ca_topic_score_gemma":0.9488482,"domain_scores_codex":[0.9949567,0.001474411,0.0008162778,0.000804988,0.0001872211,0.001760347],"domain_scores_gemma":[0.9967941,0.001037825,0.0002411212,0.001139819,0.0001372603,0.0006498995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006910898,0.0001799954,0.0009105562,0.01026045,0.0002514923,0.06186509,0.4622872,0.00002100227,0.001120288,0.0442054,0.004988588,0.413903],"study_design_scores_gemma":[0.0007960675,0.0001127523,0.002606361,0.02845711,0.0006223024,0.006807658,0.3288523,0.001935932,0.00005286981,0.001049431,0.6270126,0.001694716],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4853109,0.4888275,0.00004420335,0.00814172,0.0003334065,0.0004363807,0.0004930547,0.00009573553,0.01631705],"genre_scores_gemma":[0.9411721,0.01718712,0.0007838245,0.009982489,0.001147831,0.0001546354,0.0006555003,0.0001790656,0.02873746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6220239,"threshold_uncertainty_score":0.9997011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126964010642748,"score_gpt":0.239067090101322,"score_spread":0.2177974499948945,"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."}}