{"id":"W2799842799","doi":"10.0786/jasr.v1i1.18087","title":"Interaction patterns in Whatsapp conversation in EFL classroom: pedagogical implications","year":2018,"lang":"en","type":"article","venue":"","topic":"Digital Communication and Language","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Conversation; Conversation analysis; Variety (cybernetics); Context (archaeology); Computer science; Quality (philosophy); Language acquisition; Mobile phone; Psychology; Mathematics education; Artificial intelligence; Communication","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00363782,0.0003315004,0.0004060099,0.002994443,0.00267644,0.003292836,0.0006046863,0.0008853336,0.00196955],"category_scores_gemma":[0.01913968,0.0003026293,0.0002116146,0.00254366,0.002799541,0.002969211,0.002457246,0.0009013583,0.0004620698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304687,"about_ca_system_score_gemma":0.0007385355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002738658,"about_ca_topic_score_gemma":0.003941831,"domain_scores_codex":[0.9940419,0.003738265,0.0004118196,0.0006516955,0.0008213955,0.0003349587],"domain_scores_gemma":[0.974077,0.02076458,0.001723932,0.0009359447,0.001972176,0.000526364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002927263,0.0001516142,0.05262291,0.0005515604,0.00002310944,0.001908535,0.8683934,0.0002240345,0.01314719,0.002589314,0.0009120184,0.05918353],"study_design_scores_gemma":[0.00002625678,0.0001691503,0.2369708,0.000443057,0.0000465799,0.003719783,0.7150503,0.002243589,0.006620861,0.003937229,0.03067163,0.0001008415],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844727,0.0003810635,0.005797663,0.0006811835,0.00002138383,0.0001178111,0.0002349572,0.00007069937,0.00822263],"genre_scores_gemma":[0.9947413,0.0002104323,0.003384887,0.00009061298,0.00001446649,0.0001474656,0.000155117,0.00004053387,0.001215091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00363782,"threshold_uncertainty_score":0.01923889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08659132437755654,"score_gpt":0.3598686178446766,"score_spread":0.27327729346712,"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."}}