{"id":"W3185414748","doi":"10.1075/jslp.21006.tro","title":"Task engagement and comprehensibility in interaction","year":2021,"lang":"en","type":"article","venue":"Journal of Second Language Pronunciation","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Psychology; Conversation; Task (project management); Construct (python library); Conversation analysis; Affect (linguistics); Association (psychology); Cognitive psychology; Social psychology; Communication; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003028271,0.0005146494,0.0003082893,0.001067716,0.0004427894,0.002398411,0.000454623,0.0004143633,0.002132895],"category_scores_gemma":[0.03177376,0.0002249699,0.0003864526,0.0003611853,0.0006238483,0.001144884,0.00175499,0.0006528775,0.0002854559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003629228,"about_ca_system_score_gemma":0.000172896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005657406,"about_ca_topic_score_gemma":0.0006170056,"domain_scores_codex":[0.9972529,0.001314735,0.0002240652,0.0002930021,0.0007508748,0.0001644555],"domain_scores_gemma":[0.9692645,0.02032495,0.005833327,0.001125099,0.002208661,0.001243556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000811941,0.0004528024,0.8072303,0.0005187109,0.0003466438,0.0009668649,0.1037819,0.0009373847,0.0386506,0.0005357301,0.0004272598,0.0453399],"study_design_scores_gemma":[0.0000131646,0.0004557949,0.9755359,0.00007633707,0.00004704888,0.0006153886,0.01750709,0.001834678,0.002255837,0.000446109,0.001166326,0.00004625611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971214,0.00006634914,0.001008825,0.00002017046,0.000003504084,0.00001924961,0.00003432445,0.00001666714,0.001709552],"genre_scores_gemma":[0.9989078,0.00002900734,0.0005754108,0.00001004731,0.000005188008,0.00003302184,0.00005330617,0.000008526052,0.0003776578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003028271,"threshold_uncertainty_score":0.01601523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03424553606981594,"score_gpt":0.2756454710605453,"score_spread":0.2413999349907293,"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."}}