{"id":"W2954370703","doi":"10.3138/cmlr.2018-0258","title":"Evaluating Measures of Pausing for Second Language Fluency Research","year":2019,"lang":"fr","type":"article","venue":"Canadian Modern Language Review/ La Revue canadienne des langues vivantes","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01196372,0.0007635881,0.0007499916,0.004505575,0.000586913,0.002714752,0.000625002,0.001081569,0.002185005],"category_scores_gemma":[0.04000001,0.0003198646,0.0008413542,0.002381619,0.0007375034,0.001948711,0.001347754,0.0007511052,0.0009401831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006427597,"about_ca_system_score_gemma":0.0006614682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009890175,"about_ca_topic_score_gemma":0.001832619,"domain_scores_codex":[0.9927537,0.003665748,0.0009117323,0.0005458618,0.001757372,0.0003655554],"domain_scores_gemma":[0.9477655,0.03712352,0.005873517,0.001991879,0.005449482,0.001796116],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001848983,0.001148871,0.7022691,0.0007594638,0.0004347177,0.000484916,0.0188245,0.001180759,0.01912611,0.001264984,0.001258469,0.2513991],"study_design_scores_gemma":[0.00008107403,0.003829586,0.9758518,0.0001022898,0.0001273842,0.0005046871,0.006375461,0.002919971,0.006064271,0.001032749,0.003012022,0.00009860128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880293,0.0005245239,0.005932586,0.00006083484,0.00004214397,0.0004102884,0.0002653875,0.0001060933,0.004628848],"genre_scores_gemma":[0.9836358,0.0004018662,0.01162337,0.0000511147,0.00004545417,0.001345235,0.0005910581,0.00005959643,0.002246265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9880363,"threshold_uncertainty_score":0.06327099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1236889878376375,"score_gpt":0.3587231611875806,"score_spread":0.2350341733499431,"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."}}